Jobs

🚀 Chief Product Officer | Remote / Hybrid / Office 🚀

We're looking for a strategic and hands-on CPO to lead the evolution of a complex AdTech product ecosystem and drive the next stage of growth for an established RTB platform. This role is ideal for a product leader who combines strong AdTech expertise with a technical mindset, can quickly navigate mature legacy architecture, and knows how to turn product discovery, research, and analytics into measurable business results.

✔️ Salary: Competitive, based on experience

✔️ Format: Full-time, Remote / Hybrid / Office. Worldwide, with offices in Prague and Warsaw

✔️ About the Company:

We are an international full-service media buying and advertising company developing our own AdTech products. Our global team brings together professionals from the Czech Republic, Ukraine, Israel, Poland, and other countries, with extensive experience in digital advertising, programmatic technologies, and performance marketing. The company’s product ecosystem is built on a mature, high-load architecture and includes multiple domains across frontend, backend, search, analytics, AI, and advertising technologies.

✔️ Key Responsibilities:

• Own and develop the long-term product vision and roadmap

• Define product priorities based on business impact and growth potential

• Identify new opportunities across the Ad Network ecosystem and product portfolio

• Lead the evolution of the company’s RTB and Programmatic products

• Build and strengthen Product Discovery and Research processes

• Lead market, customer, and competitor research

• Validate product opportunities and hypotheses before development begins

• Establish Product Analytics and Research as key drivers of product decisions

• Manage the full product lifecycle from discovery and validation to delivery and adoption

• Ensure that new features deliver measurable commercial and business value

• Define, track, and improve product success metrics

• Strengthen and scale the Product function

• Lead and develop Product, Analytics, and AI teams

• Build effective product processes, prioritization principles, and decision-making frameworks

• Partner closely with the CTO to align product and technical strategies

• Translate business goals into clear product priorities and execution plans

• Coordinate Product, Engineering, Analytics, AI, and commercial stakeholders

• Navigate and improve products built on complex legacy and high-load architecture

✔️ Key Qualifications:

• Proven Product Management experience within AdTech

• Strong practical knowledge of RTB and Programmatic technologies

• Deep understanding of the digital advertising and Ad Network ecosystem

• Experience working with advertising formats such as Popunder, In-Page Push, and Web Push

• Experience working with products built on ClickHouse infrastructure

• Strong technical product expertise and the ability to collaborate effectively with Engineering and the CTO

• Ability to quickly understand complex legacy systems, infrastructure, and product architecture

• Proven experience defining and executing product strategy for complex technology products

• Hands-on experience managing the full product lifecycle, from discovery and research to delivery and impact measurement

• Experience building and improving Product Discovery processes

• Experience leading Product Analytics and Research functions

• Strong analytical and data-driven approach to product decision-making

• Experience working with high-load systems, large-scale data, and complex product environments

• Proven experience building, scaling, and developing Product teams

• Strong stakeholder management and cross-functional leadership skills

• High level of ownership and ability to make independent product decisions

• English: B2+

✔️ Benefits:

• 30 working days of vacation, not calendar days

• Additional paid leave for family events

• 10 days of sick leave with a medical certificate + 3 sick days without it

• Access to internal courses and professional development programs

• Remote, hybrid, or office-based work formats

• Modern offices in Prague and Warsaw

• Top-quality equipment

• Fully paid professional tools and software

• Participation in professional conferences fully covered by the company

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with Node.js
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the client:

Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Responsibilities:

• Developing fast, high-traffic public-facing websites
• Explore new technologies and help the team to use them
• Work using AI tools and apply them to the SDLC
• Following software development best practices while delivering the work
• Following testing principles while testing your own code to ensure production readiness
• Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes) 

Requirements: 

• 5+ years developing reliable, highly available, and scalable software systems
• Strong understanding of software architecture and design patterns
• Firm grasp of clean code principles and coding standards
• Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development

Experience integrating AI tooling into your development environment for streamlined usage

• Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
• Strong proficiency with backend development with C# 
• Strong proficiency with TypeScript
• Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
• Strong proficiency with frontend development (HTML, CSS, JavaScript)
• Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
• Hands-on experience developing and maintaining 3rd party content management systems
• Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
• Experience with APIs and developing in a service-based application environment
• Experience building optimized UIs for performance
• Proficiency with version control systems such as Git
• Experience working within a formal CI/CD pipeline
• Experience with logging, monitoring, and alerting services like Datadog, Newrelic
• Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontend

At least Upper-intermediate English level

• This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We make software that helps patients and cosmetic medical clinics diagnose, plan, and visualize appearance improvements. Our platform is used by clinics worldwide with an online fan base of 2 million+ and quickly growing.

Unlike typical cloud-only startups, we've built a cost-optimized hybrid infrastructure that combines AWS CDN delivery, bare metal compute, Kubernetes clusters, and self-hosted internal tools, saving significantly on compute while maintaining enterprise-grade security and performance.

About the Role

We're looking for a Senior DevOps Engineer to establish and lead our DevOps culture from the ground up. This isn't just about maintaining infrastructure, you'll be setting company-wide policy, building security-hardened environments, and creating the documentation and processes that will scale with us.

In short, you will be guiding the technical team on how to ensure our Production systems stay robustly online to serve our many customers.

What You'll Build

• Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads
• CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging
• Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure
• Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management
• Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments
• Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads
• Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability
• Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems

What You Bring

• 5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
• Hybrid infrastructure expertise: Experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
• Kubernetes production experience: Deep knowledge of K8s cluster design, operations, and scaling
• Networking mastery: Strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures (Tailscale, Wireguard, or similar)
• Security-first mindset: Experience with security compliance, key management, IAM policies, and hardening production systems
• CI/CD expertise: Hands-on experience building robust pipelines (CircleCI, Jenkins, GitHub Actions, or similar) for build testing before deployment
• Infrastructure as Code: Proficiency with Terraform, Ansible, or similar tools
• Scripting & automation: Strong Python, Bash, or Go skills for tooling and automation
• Policy & documentation: Ability to establish best practices and document them clearly for team adoption
• Leadership mentality: Comfortable setting standards and directing technical decisions, not just executing them

Technologies We Use

• Cloud: AWS (CDN, S3, IAM)
• Compute: Bare metal servers, Kubernetes (transitioning from bare metal)
• Networking: Tailscale/Wireguard for mesh topology, zero-trust architecture
• CI/CD: CircleCI or Jenkins
• Containerization: Docker, Kubernetes
• IaC: Terraform
• Monitoring: Grafana, Sentry, Glance

Why QOVES?

• Ownership & Impact: You'll establish the DevOps foundation and policy that scales with the company.
• Profitable & Growing: We're VC-backed and profitable, meaning sustainable growth and job security
• Real-World AI: Work on infrastructure powering actual AI/ML workloads used by medical professionals worldwide
• Security Focus: Build a security-hardened culture from day one, not retrofit it later
• Small Team, Big Decisions: Your architectural choices will shape how we scale to the next level

What Success Looks Like

• You've audited our current infrastructure, documented everything, and established a roadmap
• CI/CD pipelines are running, security policies are enforced, and zero-trust networking is operational
• The team is following your documented standards, infrastructure is code, and we're scaling confidently

Compensation

Competitive salary based on experience

About the Company

We are a fast-growing international FinTech company providing payment solutions to businesses across multiple markets.

As the company continues its growth journey, we are looking for a Chief Financial Officer (CFO) who will help build a strong financial foundation for the business and prepare the company for its next stage of development.

This role is ideal for a finance leader who enjoys building systems, improving financial visibility, supporting business decisions, and creating scalable financial processes in a fast-growing environment.

Role Mission

Build a modern finance function that enables sustainable growth, supports strategic decision-making, and creates the financial structure required for the company's future evolution into an international group of businesses.

The CFO will act as a strategic partner to the CEO, helping transform finance from a reporting function into one of the key drivers of business growth.

Key Responsibilities

• Lead and develop the company's finance function across all core financial areas.
• Build budgeting, forecasting, and financial planning processes.
• Develop management reporting that provides clear visibility into business performance.
• Design financial KPIs and dashboards for executives and department leaders.
• Improve cash flow management, liquidity planning, and financial forecasting.
• Support business planning through financial modelling and commercial analysis.
• Establish scalable financial processes and internal controls.
• Standardize financial operations across multiple legal entities.
• Partner closely with Operations, Product, Sales, Compliance, Legal, and other departments to support business decisions.
• Support the CEO in evaluating new business initiatives and growth opportunities.
• Build relationships with banks, payment providers, auditors, and external financial partners.
• Identify financial risks and recommend practical solutions.
• Develop and mentor the finance team while building a culture of accountability and continuous improvement.
• Help prepare the company for future expansion into a group structure.

Requirements

• 7+ years of experience in Finance, FP&A, Corporate Finance, Financial Management, or similar functions.
• 3+ years of experience in senior finance leadership roles such as CFO, Finance Director, Head of Finance, or equivalent.
• Proven experience building or improving finance processes in a growing business.
• Strong expertise in budgeting, forecasting, financial planning, and management reporting.
• Experience implementing financial controls and performance management frameworks.
• Strong understanding of cash flow management and business finance.
• Experience working with multiple legal entities is considered a strong advantage.
• Experience in FinTech, Payments, SaaS, Technology, E-commerce, or other high-growth industries is highly desirable.
• Strong analytical thinking and commercial mindset.
• Ability to communicate financial information clearly to non-financial stakeholders.
• Hands-on leadership style with the ability to balance strategic thinking and operational execution.
• Fluent English.

Success in the First 90 Days

• Gain a deep understanding of the company's financial structure and business model.
• Implement or improve executive financial reporting.
• Establish budgeting and forecasting processes where needed.
• Create clear financial KPIs and management dashboards.
• Improve visibility of cash flow and financial performance.
• Identify key financial risks and recommend improvement initiatives.
• Build effective collaboration with department heads and executive leadership.
• Present a financial roadmap supporting the company's next stage of growth.

What We Are Looking For

We are not looking for a traditional accountant focused only on reporting.

We are looking for a finance leader who enjoys building systems, improving business visibility, and helping leadership make better decisions through data.

The ideal candidate combines strategic thinking with a hands-on approach, understands the realities of growing businesses, and is excited by the opportunity to help shape the financial future of a company preparing for significant international growth.

Who are we?

Fuelfinance is on a mission to revolutionize financial management for early-stage startups, empowering them to take control of their finances and thrive. We recently raised $1M in Seed Funding from top-tier investors like Markus Villig (Bolt), John S. Kim (SendBird), Stratmind, and Bad Ideas funds, following 3 years of profitable, bootstrapped success. Trusted by businesses with over $200M in P&L, including Reface, Petcube, and Hampton, we’ve built a universal tool that brings clarity and insight to finance management.

With 38% of startups failing due to cash flow issues, our goal is to prevent these failures and unlock trillions in GDP growth. At Fuelfinance, we’re not just creating software — we’re safeguarding the future of thousands of startups. Join us and be part of this impact!

fuelfinance.me

www.instagram.com/fuelfinance

youtu.be/eI5VH2Ks9o4

Who are we searching for?

We're looking for an Enterprise Finance Engineer — someone who can design and implement AI-powered finance systems for our largest and most complex customers. This role sits at the intersection of Finance, Accounting, Systems, Automation, Integrations, and AI.

You'll work directly with CFOs, Finance Directors, Controllers, IT teams, and finance teams to redesign finance operations through AI, automation, and system integrations. You'll own a small number of large, strategic customers end-to-end — from understanding business processes to designing scalable solutions and continuously improving them as the business evolves.

This isn't a role for someone who wants repeatable implementations or well-defined requirements. Every customer is different. You'll navigate ambiguity, work with demanding stakeholders, and solve unique technical problems without predefined playbooks. If that energizes you, we'd love to meet you.

What are your responsibilities?

• Design and implement AI-powered finance systems for enterprise customers
• Lead discovery sessions to understand finance processes and identify automation opportunities
• Build workflows for reporting, forecasting, financial controls, reconciliations, and planning
• Design integrations across ERP, accounting, CRM, payment, BI, and data platforms
• Translate finance requirements into scalable workflows, automations, and system architecture
• Build AI agents, validation logic, and automation frameworks that reduce manual work
• Partner with Engineering on APIs, integrations, and workflow orchestration
• Coordinate across Engineering, Product, and Customer Success as the trusted technical partner for your customers
• Continuously improve customer solutions as business needs evolve

What are the preferred requirements for the role?

• 10+ years implementing finance systems, automations, or enterprise finance operations
• 1+ year building AI-powered automations, agents, workflows, or internal AI tools
• Hands-on experience with APIs, system integrations, automation platforms, and data warehouses
• Experience working with enterprise or multi-entity organizations (multiple stakeholders, legacy systems, changing requirements, long implementation cycles)
• Proven experience leading implementation projects end-to-end — discovery, solution design, rollout, training, and support
• Fluent English
• Strong understanding of finance and accounting processes, including financial close, reporting, FP&A, revenue, AP/AR, and financial controls
• Ability to understand how financial data flows across systems and departments
• Experience with ERP, accounting, or billing systems
• Proven impact in numbers: hours saved, manual work reduced, faster reporting, or fewer errors
• Excellent communication skills and experience working directly with senior finance stakeholders
• Strong systems thinking — the ability to see the bigger picture and break complex finance processes into scalable, maintainable, reusable solutions
• Ownership: taking full responsibility from problem discovery through implementation and post-launch optimization
• Learning agility: quickly mastering new AI tools, technologies, and approaches
• Strong problem-solving under ambiguity, with the judgment to make trade-offs and prioritize
• Strong drive to eliminate repetitive manual work
• Proactivity and a high level of responsibility
• Ability to work in a fast-paced environment

Will be a plus:

• Python or other scripting experience
• SQL and the ability to retrieve and validate financial data independently
• Experience with tools like NetSuite, QuickBooks, Xero, Stripe, Salesforce, HubSpot, Zuora, BigQuery, Snowflake, PostgreSQL, Looker, Power BI, Tableau, Zapier, Make, n8n, or Workato
• Understanding of enterprise architecture — security, scalability, governance, and integration patterns
• Experience working with US-based clients or startups

Reporting Structure: reporting to the Head of FP&A

Recruitment Process:

• Soft skills interview with the recruiter
• Test task
• Hard skills interview with the Head of FP&A
• Culture fit interview with the Head of FP&A/VP of Operations

Why work with us?

• Build the future of finance work — design AI-native finance operations, not just maintain them
• Rapid skills improvement (you'll work with multiple client businesses with different models and challenges)
• Growth opportunities according to our seniority grading (it comes with a compensation increase)
• Flexible schedule and time-off policy
• 18 days of paid vacation per year, paid sick leaves

Summary

• Team Lead with  (3+ years) a strong full-stack background (7+ years)
• Cloud expertise (must be born on cloud ), Experience with Low-Code/No-Code Platform projects
• Hybrid model: 1–2 days per week in office (Poland, Szczecin), rest remote

About the job

On the lookout for a Technical Team Lead to become a key player in our Polish team. If you're a Technical Team Lead and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit.

Location: Germany or Poland (hybrid), visit Szczecin  (Poland) 1-2 times a week. 
 

What you’ll do

As a Senior Tech Lead in the Digital R&D Group, you will lead the design and delivery of our digital products.

This includes solutions design, developing new components and frameworks, and solving technical problems as we package different apps/components together.

This role requires a real passion to learn and know multiple technologies and solutions, the ability to dive deep into our platforms and products and have hands-on practice to continuously build our platforms and products.

LCNC Platform Experience

Experience designing and implementing drag-and-drop builders (e.g., visual editors, form builders, workflow designers) - Advantage

Experience building end-to-end low-code / no-code platforms, including visual modeling, rule engines, and runtime execution layers - Advantage.

Core Idea in LCNC Context

In an LCNC platform, end-users compose applications by dragging/dropping/recombining blocks (pre-built components with their own data schema, UI, validation rules, permissions, etc.). When a user connects a "User Profile" block with a "Billing Info" block (and maybe a "Custom Metadata" block), the platform must:

1. Dynamically compute the resulting data shape (merged schema).
2. Preserve all metadata (decorators, validation rules, OpenAPI extensions, UI hints, relations, etc.).
3. Generate runtime artifacts efficiently: TypeScript interfaces for backend services, JSON Schema for forms/validation, GraphQL types, database migrations, etc.
4. Do it at scale without exploding memory or compile time.

For a Team Lead role on a Low-Code/No-Code (LCNC) platform, this question is not just a syntax check. The interviewer is testing your architectural vision for metadata-driven development, visual modeling, and system scalability.

In an LCNC platform, you are building the blocks that other people use to build applications.

Why It Matters for a Low-Code/No-Code Platform

• Visual Schema Composition: LCNC platforms rely on users dragging and dropping blocks (e.g., combining a "User Profile" block and a "Billing Info" block). IntersectionType() is exactly how you dynamically merge those two visual schemas on the backend into a single, valid API contract.
• Dynamic Metadata Generation: Your platform must automatically generate API documentation and forms based on user layouts. You need utilities that preserve decorator metadata at runtime to achieve this.
• Performance and Memory: Creating thousands of distinct, hardcoded classes for every user configuration wastes server memory. Class composition helpers allow you to create dynamic schemas efficiently.

What to Have for this position

• 7+ years as a Full Stack Developer
• 3+ years in Backend web development in Node.Js
• 5+ years with React +Redux frontend web applications.
• 2+ years leading design and delivery
• Deep Knowledge and experience with JavaScript, TypeScript
• Experience with Databases - MongoDB
• Deep knowledge of software architecture design and REST API
• Experience owning your code quality by writing tests, automation, and monitoring dashboards
• Strong object-oriented design and development capabilities
• B.Sc. degree in Computer Science or equivalent practical experience
• Experience in SaaS or multi-tenant or cloud-based environments or scalable platforms (born in cloud or cloud native companies) - Must
• Experience in working in a foundation/platform team - Advantage
• Experience designing and implementing drag-and-drop builders (e.g., visual editors, form builders, workflow designers) - Advantage

• Experience building end-to-end low-code / no-code platforms, including visual modeling, rule engines, and runtime execution layers - Advantage

   

Personal skills

• Leadership skills.
• Team player, innovative and creative, able to see the "big picture" and take part in shaping the product.
• Passionate with a strong interest in staying current with industry trends and techniques.
• Excellent communication, analytical and interpersonal skills.

• Fluent English and Polish

   

We offer

• Opportunity to design and develop complex integration solutions
• Stable permanent job contract
• Flexible working hours to help you keep the work-life balance and find time for your hobbies
• Partnership approach & communication respecting individual needs and employee development plan ideas
• Possibility to gain professional experience and learn from global industry experts
• Stable project & diversified working environment
• Periodical events and contests (business runs, paintball, etc.)
• IT-specific, friendly dress code that you will become a fan of

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

The Senior Search Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

The Senior Python AI Engineer will be engaged with the company as a contractor (Private Entrepreneur).

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

If you’re a talented Data Scientist looking to be part of a fast-growing, innovative R&D team, shape the future of decision-making in business, work on cuttingedge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let’s talk! Start.io is a mobile data platform that enables organizations to uncover insights and make datadriven decisions that enhance strategies and drive growth. We are seeking a Senior Data Scientist to join our Data Science & Engineering team.

Responsibilities:

• Analyze large and complex data to discover hidden patterns and opportunities;
• Develop and own end-to-end highly scalable data pipelines;
• Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields;
• Provisioning data models for real-time (online) processing;
• Shape new data products, and constantly improve the existing products;
• Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions;

• Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.

   

Requirements:

• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields;
• 6 years as a Data Scientist - a strong background in ML concepts and models;
• Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.;
• Understanding of databases and SQL for data retrieval;
• Monitoring and alerting tools (e.g. Grafana, Kibana).

Will be a plus:

• Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage;
• Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases;
• Experience with PMML.

What we offer:

• Help and support from our caring HR team;
• 20 days of vacation;
• The exchange of experience and work with talented colleagues;
• Last but not least - valuable compensation for your efforts.

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100M from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures.

We got there by moving incredibly fast and hiring and sharp, hard-working people.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

 

📍 Location: Remote - this role is available across all countries with 4hr+ overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 8+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $150,000 - $250,000 USD
• Equity: $50,000 - $80,000 USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Senior DevOps Engineer!  

Requirements: 
- Excellent knowledge and regular 3+ years of experience with the following technologies:
- DevOps practices(IaC, CI/CD, GitOps)
- AWS Cloud (EKS, ECR, EC2, IAM, RDS, EBS, EFS, VPC, S3, Route53)
- Kubernetes at the CKA/CKS/CKAD certification level, real clusters management experience.
- Terraform: write, maintain, review, test, and improve complex solutions
- Helm: write, review, and test Helm charts and deploy releases
- Ansible: maintenance of roles and collections, deploy via automated pipelines, troubleshooting
- Basic network concepts knowledge

Will be plus:

- Experience of using and working with Openstack environments is a big plus
- Experience implementing or supporting Hashicorp Vault instances
- Monitoring (Grafana, Prometheus, Tempo, Loki)
- Debian Linux - installation, configuration and administration
- Ability to write and analyze basic bash or python scripts
- Experience completing CNFC, RedHat or other relevant certifications, not for the badge, but for the knowledge

Responsibilities:

The specialist will work in a DevOps team whose primary focus is developing standard and typical solutions using technologies such as Terraform, Ansible, and Helm. So good expertise in those technologies is required. We also deploy and support infrastructure that is based on a K8S clusters (without on-call duties). That means troubleshooting k8s and AWS cloud services. Strong knowledge of GitLab CI and ArgoCD gitops tool will help you greatly. Occasionally a linux system administration and bash/python scripting too. 

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

🗣Free internal English courses

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 

 

About the Role

We are looking for a Director of Marketplace to build, scale, and grow. Reporting directly to the Group COO, you will take full ownership of the vertical’s commercial growth, operational infrastructure, partner ecosystem, and member experience.

The marketplace will bring together premium wellness and travel services, including:

• Wellness retreats and longevity clinics
• Spas, fitness, and recovery services
• Mental health and mindfulness experiences
• Health-focused travel
• Hotels, flights, and accommodation
• Airport lounges and concierge services
• eSIMs, insurance, and exclusive lifestyle benefits

This is a senior commercial and operational leadership role for someone who has already built or scaled a premium travel, wellness, or lifestyle marketplace and understands how to deliver an exceptional, members-first experience.

Key Responsibilities # Marketplace Growth and Commercial Performance

• Own the commercial performance of the vertical, including GMV, revenue, take rate, and unit economics.
• Acquire and curate premium supply across wellness, travel, and lifestyle categories.
• Drive conversion, attach rate, repeat usage, and marketplace liquidity.
• Negotiate rates, inventory access, exclusivity, and co-marketing agreements with partners.
• Develop a merchandising and curation strategy that makes premium experiences easy to discover and book.
• Identify and launch new categories, partnerships, and markets.
• Use member insights to improve personalisation, offers, retention, and lifetime value.

# Operational Strategy

• Define and implement the operational strategy for wellness, lifestyle, and travel services.
• Build scalable processes and playbooks for partner onboarding and lifecycle management.
• Establish clear ownership, accountability, KPIs, and service standards.
• Identify operational gaps and implement structured improvements.
• Introduce automation and appropriate tools to improve operational efficiency.
• Ensure that internal documentation and SOPs are maintained and followed.

# Partner and Vendor Management

• Manage the onboarding, integration, and ongoing performance of marketplace partners.
• Build relationships with wellness clinics, retreats, spas, hotels, airlines, OTAs, eSIM providers, benefits platforms, and other service providers.
• Manage outsourced concierge and customer experience partners.
• Define SLAs, quality standards, and vendor performance metrics.
• Act as the primary commercial and operational escalation point for key partners.
• Continuously evaluate and expand the partner ecosystem.

# Premium Member Experience

• Own the end-to-end member journey across discovery, booking, payment, fulfilment, and post-purchase support.
• Set and protect a premium, members-first service standard.
• Ensure reliable service delivery with minimal friction.
• Lead responses to cancellations, delays, emergencies, and other travel disruptions.
• Establish 24/7 escalation and rebooking readiness where required.
• Monitor and improve NPS, CSAT, conversion, booking success rate, cancellations, complaints, and resolution time.
• Work with Support teams to identify and resolve potential issues before they affect members.
• # Cross-Functional Leadership
• Act as the central link between Operations, Product, Engineering, QA, Support, Compliance, Finance, and Partnerships.
• Coordinate the integration of partner services into the Deone product ecosystem.
• Ensure that new features and services are correctly implemented, tested, and launched.
• Create structured feedback loops between Support, QA, Product, and Engineering teams.
• Align internal teams and external partners around shared commercial and operational goals.

# Issue Resolution and Risk Management

• Build frameworks for identifying, prioritising, escalating, and resolving operational issues.
• Oversee complex cases involving bookings, payments, refunds, fulfilment, and partner failures.
• Work with Finance on failed transactions, reconciliation gaps, chargebacks, refunds, and settlement discrepancies.
• Own trust, safety, and fraud risks related to marketplace bookings and payments.
• Partner with Legal and Compliance to ensure that agreements and operational processes meet regulatory requirements.

# Analytics and Reporting

• Define and track KPIs for growth, unit economics, operational efficiency, partner performance, and member experience.
• Build dashboards and reporting systems that provide clear visibility across the organisation.
• Translate member data and marketplace insights into commercial and operational decisions.
• Provide transparent reporting to senior stakeholders.

# Required Experience

• Direct experience building and growing a premium travel, wellness, or lifestyle services marketplace.
• Hands-on ownership of both marketplace operations and commercial growth.
• Experience working with a multi-sided platform connecting members with third-party service providers.
• 8−12+ years of experience in operations, commercial leadership, or marketplace growth.
• Proven experience acquiring supply, negotiating commercial terms, and managing complex partner ecosystems.
• Experience managing loyalty and rewards programmes.
• Strong understanding of GMV, take rate, unit economics, conversion, retention, and marketplace liquidity.
• Experience building and scaling teams, processes, and operational frameworks.
• Deep understanding of workflows across Product, Engineering, Customer Support, QA, Finance, and Compliance.
• Track record of delivering premium, high-touch experiences for affluent or experience-driven customers.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.
• Fluent English.

# Strong Advantage

• Experience in wellness, hospitality, luxury travel, or premium consumer brands.
• Background in fintech, super apps, or high-growth consumer technology companies.
• Experience with card programmes, cashback, loyalty points, or rewards ecosystems.
• Existing relationships within the premium wellness, hospitality, or travel industry.

# Success in This Role

• The Lifestyle & Travel vertical grows in supply, demand, revenue, and repeat usage.
• The marketplace maintains healthy and transparent unit economics.
• Members choose Deone for premium wellness and travel experiences and return regularly.
• Partner services operate reliably with minimal member friction.
• Marketplace issues are resolved quickly, with a strong duty-of-care standard.
• Leadership has clear visibility into growth, operational performance, and partner quality.
• Scalable processes support the rapid expansion of services, partners, and markets.

# How to Apply

Please send your CV in English together with a brief description of the marketplace products you have built or scaled.

In your application, please include:

• Marketplace type and target audience
• Your area of ownership
• Key categories and partners
• GMV or revenue growth
• Unit economics and take rate
• Conversion and repeat-usage results
• Team size and geographic coverage

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

We are looking for Data Engineer, who will be embedded in the Data Platform team of a global mining organisation, helping design and deliver a modern Azure-native data infrastructure. The team ingests data from dozens of operational sources — including REST and SOAP APIs, IoT sensors, ERP systems, and flat-file feeds — transforming it into curated, analytics-ready datasets that drive decisions across finance, operations, and supply chain.

This is a hands-on engineering role. You will spend most of your time building and maintaining robust pipelines, optimising data flows within Azure Synapse and Databricks, and ensuring the platform remains reliable, scalable, and secure.

Key Responsibilities:

• Gather and analyse business requirements to identify and prioritise integration opportunities.
• Design, build, and maintain scalable data pipelines using Azure Data Factory to orchestrate ingestion from diverse source systems.
• Develop and optimise data transformation logic and analytical workloads in Azure Synapse Analytics (dedicated and serverless SQL pools, Synapse Pipelines).
• Build and maintain Databricks notebooks and jobs (PySpark / Spark SQL) for large-scale data processing and feature engineering.
• Implement robust API extraction patterns — REST and SOAP — handling pagination, authentication (OAuth 2.0, API keys), rate limiting, and error recovery.
• Design and maintain the lakehouse architecture: raw, curated, and serving layers using Azure Data Lake Storage Gen2.
• Ensure data quality through validation frameworks, monitoring pipelines, alerting, and lineage documentation.
• Collaborate with Analytics Engineers and data consumers to understand downstream requirements and model data accordingly.
• Apply best practices for CI/CD, infrastructure-as-code (Azure DevOps, Terraform / Bicep), and environment management.
• Participate in data governance activities including metadata management, access control, and documentation.

Requirements:

• 4+ years of experience in data engineering or a closely related software engineering role.
• Strong analytical and communication skills
• Strong hands-on experience with Azure Data Factory — authoring pipelines, triggers, linked services, and data flows.
• Solid experience with Azure Synapse Analytics — SQL pools, Synapse Pipelines, and integration with ADLS Gen2.
• Proven experience with Databricks — PySpark, Delta Lake, job clusters, and Unity Catalog is a plus.
• Strong API extraction skills: designing reliable ingestion from REST and SOAP endpoints, handling complex authentication and error scenarios.
• Proficiency in SQL (T-SQL or Spark SQL) and Python for data manipulation and pipeline scripting.
• Familiarity with data modelling concepts: star/snowflake schemas, data vault, or medallion architecture.
• Experience with Azure DevOps for source control (Git), CI/CD pipelines, and automated deployments.
• Understanding of data security, role-based access control (RBAC), and encryption in Azure.
• Strong problem-solving mindset and ability to work autonomously in a distributed team environment.

Nice to have:

• Experience with Azure Purview for data cataloguing and governance.
• Knowledge of streaming data patterns (Azure Event Hubs, Kafka, Spark Streaming).
• Familiarity with dbt or similar SQL-based transformation frameworks.
• Background in mining, heavy industry, or operational technology (OT) data environments.
• Power Platform awareness (not required, but beneficial for understanding downstream consumers).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*benefits are not applicable for freelancers