Jobs Data Engineer

Vacancy Description

We are building a broad blockchain ecosystem – an L2 network, wallet infrastructure, multiple stablecoin products, and the supporting services around them – and we are looking for a DevOps Engineer to help us run and scale the platform behind it. The work is hands-on across platform engineering, reliability, and operations: high-availability services, on-chain integrations, secure production environments, and infrastructure that grows with the products it supports.

Requirements

• 4+ years of professional DevOps or infrastructure experience, including leadership or mentorship roles.
• Deep expertise in Azure cloud provider and familiarity with others.
• Strong hands-on experience with Terraform.
• Proven production-grade Kubernetes experience: cluster provisioning (AKS preferred), Helm charts, Operators.
• Design, implementation, and maintenance of CI/CD pipelines using GitLab or GitHub CI, Argo CD, or similar tools.
• Proficiency in scripting languages for automation and custom tooling.
• Knowledge of secrets management (HashiCorp Vault, Azure Key Vault).
• Solid understanding of TCP/IP, DNS, load balancing, CDN integration, and network security concepts.
• Experience designing storage strategies backup, restore, and Disaster Recovery planning.
• Ability to intervene in operational matters and assist the team directly when necessary.
• Excellent communication and collaboration skills with cross-functional stakeholders.
• High attention to detail, reliability, and ability to meet deadlines in a fast-paced environment.
• Capability to identify risks early, communicate options clearly, and drive timely mitigation.
• Be on time, prepared, and reliable for meetings, handoffs, and releases.

• English skills at least Upper-intermediate.

   

Would be a plus

• Experience with enclaves and secure environments (SGX, Nitro Enclaves or similar)
• Strong consultative skills: ability to translate client business goals into technical requirements and actionable roadmaps.
• Comfort working with multiple concurrent client projects, balancing competing priorities, and triaging incidents.
• Exceptional verbal and written communication: present technical solutions, write clear documentation, and lead regular status meetings with both technical and non-technical stakeholders.
• Passion for upskilling team members: conduct workshops on new tools (e.g., migrating on-premise workloads to Kubernetes) or share best practices for secure coding and infrastructure hardening.
• Understanding of more complex blockchain-related terms and concepts (rollups, smart-contracts, consensus, etc.)

• Hands-on experience with Web3/Blockchain projects and related infrastructure

   

Responsibilities

• Continuously evaluate new tools, platforms, and best practices to improve delivery speed, reliability, and security
• Participate in the planning and implementation of new approaches and tools
• Architect and implement CI/CD pipelines for diverse technology stacks (microservices, monoliths, serverless).
• Develop and maintain Infrastructure-as-Code (IaC) modules (Terraform) for reproducible environments.
• Oversee container orchestration (Kubernetes) and related tooling (Helm, Argo CD).
• Define and enforce network, storage, and compute configurations to meet scalability and high-availability requirements.
• Evaluate, select, and integrate monitoring, logging, and alerting solutions (Prometheus, Grafana, ELK).
• Propose best practices for peer reviews, knowledge sharing, and continuous learning.
• Support multiple project teams in an ad-hoc manner

Data is at the core of every product decision we make. In this role, you’ll help shape and scale the data ecosystem behind products used by millions of users across international markets. You’ll work on high-volume data platforms, build reliable pipelines, and create the foundation that enables analytics, business intelligence, and data science teams to make fast, data-driven decisions. This is an opportunity to solve complex engineering challenges, optimize large-scale data systems, and directly influence the way data powers our products and business growth

In this role, you will
 

• Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency
• Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions
• Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights
• Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability
• Continuously improve performance, scalability, and cost efficiency of production data infrastructure
• Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives
• Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization
  
  It’s all about you
   
• 3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets
• Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design
• Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices
• Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management
• Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL
• Proficiency in Python and data processing libraries such as Pandas and PySpark
• Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches
• Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts
• Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows
• Strong understanding of monitoring, logging, data validation, and production-grade data quality practices
• Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment
• Strong communication and collaboration skills with both technical and non-technical stakeholders
• Understanding of product metrics, experimentation frameworks, and data-driven decision making
• 2+ years of previous Software Engineering experience
• Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs
• Experience integrating data platforms with BI tools such as Tableau or Looker
  
  Would be a plus
   
• Familiarity with supporting machine learning workflows and data infrastructure for Data Science teams
• Experience working with AI-powered development tools, including Claude Code, Claude Agents, or similar AI-assisted engineering solutions
  
  What we offer
• Care and support: 
• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Maternity Recovery Support Allowance
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   
• Comfortable working environment:
• Work from our Kyiv hub or remotely with a flexible schedule 
• Modern equipment or depreciation of your own tools
  
  Investment in your future:
• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   
• Hiring process
• Intro call
• Technical interview
• Final  interview
• Reference check
• Offer
   

Client

Our client is a large international manufacturing company listed in the S&P 500, operating a complex, multi-site global environment. As part of a Data Strategy Development initiative, the organization is defining a clear, pragmatic, and scalable data strategy to improve decision-making, reduce manual processes, strengthen data ownership, and establish a strong foundation for future analytics and digital transformation. The engagement focuses on strategy definition and is expected to continue into platform and analytics implementation phases.

Project overview

This initiative focuses on establishing a robust, enterprise-wide data strategy and building a data-driven culture. The project involves standing up a modern target operating model, deploying advanced data platforms, and creating the data leadership architecture necessary to support long-term business capabilities.

Position overview

The Data Consultant will lead the people and process aspects of the organization's data strategy, specifically driving data governance, change management, and the data literacy agenda. Serving as a business-facing leader, this role acts as the primary bridge between business stakeholders, executive sponsors, and the technical delivery teams. The ideal candidate possesses strong business acumen paired with sufficient technical literacy to maintain credibility with data architecture teams and ensure seamless strategic alignment.

Responsibilities

• Data Governance: Lead the implementation of the data governance blueprint, including the operating model, defining roles (data owners and stewards), establishing policies and standards, and facilitating and sustaining governance forums.
• Change Management: Own and execute the comprehensive change management plan, covering stakeholder engagement, communications, user adoption, and the transition to the target operating model.
• Data Leadership: Drive the data leadership and data literacy agenda to foster a mature, data-driven organizational culture and build internal capabilities.
• Stakeholder Partnership: Collaborate directly with business and functional leaders to capture requirements, prioritize data use cases, and secure organizational buy-in.
• Executive Alignment: Maintain alignment across executive sponsors, the Data Architect, and change program leads regarding project scope, priorities, risks, and milestones.
• Technical Alignment: Ensure all governance processes and adoption strategies are technically grounded by maintaining a strong baseline understanding of the deployed data platforms and architecture.
• Artifact Ownership: Author and quality-assure core strategic artifacts, including governance blueprints, operating models, and change plans tailored for executive audiences.

Requirements

• Proven track record of leading data governance and/or data management programs within a complex enterprise environment.
• Strong change management capability, with demonstrated experience in stakeholder engagement, communication strategy, and operating-model transitions.
• Proven ability to effectively engage, collaborate with, and influence senior and C-level stakeholders.
• Sound technical literacy regarding data platforms and analytics, enabling close partnership with architects and engineers.
• Exceptional communication and facilitation skills, with a verified ability to translate complex concepts between business and technical audiences.

Nice to have

• Experience in manufacturing or industrial enterprise environments.
• Background in large-scale data or digital transformation programs.
• Familiarity with Azure, Snowflake, and modern cloud data platforms.
• Experience contributing to executive-level strategy reports and board-level materials.
• Consulting or principal-level advisory experience in global organizations.

Our client is a prominent global wealth and asset management firm focused on delivering innovative investment solutions and a networked ecosystem of international opportunities. The organization operates within a highly regulated environment, prioritizing the transformation of complex concepts into actionable financial strategies for a global clientele.

Project overview

The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C-level executives and advisors with a unified, reliable reporting layer for strategic decision-making.

Position overview

As a Senior Data Engineer, you will be a technical cornerstone of the data platform team. You will be responsible for the end-to-end engineering of data pipelines, from ingestion to transformation, ensuring that the Snowflake warehouse is optimized for complex wealth management analytics. You will work at the intersection of sophisticated financial data and enterprise-grade engineering.

Responsibilities

• Build and maintain scalable data pipelines for ingestion into Snowflake.
• Develop and manage transformations using dbt, including modeling, testing, and comprehensive documentation.
• Design and orchestrate complex data workflows using Prefect.
• Utilize Workato to integrate and normalize data from critical SaaS platforms, including Addepar, NetSuite, Salesforce, Morningstar, and UKG.
• Design specialized data models tailored for portfolio, client, and financial reporting.
• Ensure data quality, lineage, and governance best practices while optimizing performance and costs within Snowflake.
• Partner with Tableau developers and business stakeholders to align technical delivery with reporting needs.

Requirements

• 5+ years of experience in data engineering with a focus on building modern data platforms.
• Hands-on experience with Snowflake and dbt, supported by strong SQL skills and advanced data modeling expertise.
• DBT certification.
• Proven familiarity with ETL/ELT patterns and API-based ingestion.
• Practical experience with orchestration tools such as Prefect or Airflow.
• A solid understanding of financial or wealth management data structures.

Nice to have

• Experience supporting reporting requirements for Tableau-based visualization layers.
• Experience within the Wealth Management or Investment Management sector, with specific familiarity handling investment and portfolio-related data.
• Understanding of regulatory requirements regarding financial data handling and privacy.
• Background in integrating market data providers such as Bloomberg or Morningstar.
• Advanced SQL skills and experience with Python for data engineering tasks.

About the Role

We are looking for a Senior Data Engineer with hands-on Palantir Foundry experience to design, build, and operate scalable data platforms supporting analytics, operations, and data-driven decision-making. You will work on complex, production-grade data systems and collaborate closely with product, analytics, and engineering teams.

Responsibilities

• Design, build, and maintain end-to-end data pipelines using Palantir Foundry
• Develop and manage data models, transformations, and workflows within Foundry
• Integrate data from multiple sources (APIs, databases, files, event streams)
• Ensure data quality, reliability, security, and governance across data products
• Optimize performance and scalability of data pipelines and analytics workloads
• Collaborate with product managers, analysts, and stakeholders to translate business needs into data solutions
• Support analytics, reporting, and advanced use cases (including ML/AI where applicable)
• Contribute to best practices, documentation, and data platform standards

Requirements

• 5+ years of experience as a Data Engineer (senior level)
• Strong hands-on experience with Palantir Foundry in production environments
• Excellent proficiency in Python and SQL
• Experience building and operating cloud-based data platforms
• Solid understanding of data modeling, ETL/ELT, and data warehousing concepts
• Strong focus on data quality, governance, and security
• Experience working in Agile, cross-functional teams
• Must be located in Europe

Nice to Have

• Palantir Foundry certification
• Experience with AWS, Azure, or GCP
• Exposure to analytics engineering or data product development
• Experience in regulated or enterprise environments
• Familiarity with CI/CD and infrastructure-as-code practices

Employment type: Freelance / Project-based
Duration: 6+ months
Location: Czech Republic, Hungary, Slovakia (must be based in Europe)
Language: English (professional working proficiency required)

About the Project
We're looking for a Senior Data Engineer to support a client in the wealth/asset management space. This is a long-term engagement (6+ months) — you'll work on data integration, data platform modernization, and analytics/reporting enablement in an environment where data accuracy, quality, and governance are business-critical.

What You'll Do:

• Design, build, and maintain scalable data pipelines from enterprise systems into analytics/reporting environments
• Integrate data from SAP, CRM, portfolio management platforms, APIs, databases, and flat files
• Build and optimize data models for BI, dashboards, and business analytics
• Prepare clean, reliable datasets to support Tableau / Power BI reporting
• Develop ETL/ELT workflows covering ingestion, transformation, validation, and reconciliation
• Implement data quality checks, monitoring, and logging
• Work with business stakeholders to translate reporting requirements into data models
• Support migration and modernization of legacy reporting/data workflows into scalable architecture
• Ensure data security, governance, and compliance aligned with financial industry standards

What We're Looking For:

• 5+ years of experience in data engineering, data warehousing, or analytics engineering
• Strong SQL skills and experience designing analytical data models
• Proven experience building ETL/ELT pipelines with structured business data
• Hands-on experience with cloud data platforms: Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, or similar
• Experience integrating data from ERP/enterprise systems; SAP experience is a strong plus
• Experience supporting BI tools such as Tableau, Power BI, or Looker
• Solid understanding of data quality, lineage, governance, and access control
• Experience with APIs, batch loads, scheduled jobs, and file-based integrations
• Strong communication skills and ability to work in a client-facing environment

Nice to Have:

• Background in wealth/asset management, private banking, investment management, or financial services
• Experience with portfolio, holdings, transactions, performance, or client/advisor data
• SAP BW / SAP HANA / SAP Datasphere
• Python for data processing and automation
• dbt, Airflow, Fivetran, Matillion, Informatica, Azure Data Factory, or AWS Glue
• Experience with MDM, data catalogues, or data governance platforms
• Understanding of financial, regulatory, or client reporting workflows

🚀We are looking for a Middle+/Senior Data Engineer to join a long-term data platform project. The role is focused on building, maintaining, and optimizing scalable data pipelines, data warehouses, and cloud-based data platforms for high-load business environments.

The ideal candidate has strong hands-on experience with Python, SQL, Spark/PySpark, cloud data services, and modern ETL/ELT pipelines. Experience with AWS is highly important, while Databricks, Snowflake, BigQuery, dbt, Airflow, Kafka/Kinesis, and Terraform are strong advantages.

🧩Responsibilities:

• Design, build, and maintain scalable batch and near-real-time data pipelines.
• Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar tools.
• Work with cloud-based data platforms and services, especially AWS.
• Build and support data lakes, lakehouse architectures, and data warehouses.
• Integrate data from APIs, databases, SaaS tools, files, and streaming/event-based sources.
• Optimize data processing performance, query execution, partitioning, and storage costs.
• Ensure data quality, reliability, monitoring, logging, and validation across pipelines.
• Collaborate with engineers, analysts, BI teams, data scientists, and business stakeholders.
• Support documentation, data modeling, and data dictionary creation where needed.
• Contribute to CI/CD, infrastructure automation, and cloud data platform improvements.

🔑Requirements:

• 3-5 years of experience in Data Engineering or closely related roles.
• Strong hands-on experience with Python, SQL, and Spark/PySpark.
• Experience building and maintaining production-grade ETL/ELT pipelines.
• Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling.
• Experience with AWS data services such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge.
• Experience with orchestration and transformation tools such as Airflow, dbt, Prefect, Dagster, or similar.
• Experience with at least one modern data platform: Databricks, Snowflake, BigQuery, Redshift, or similar.
• Understanding of data quality, monitoring, observability, and performance optimization.
• Experience with Git, CI/CD, Docker, Terraform, AWS CDK, or other DevOps/IaC tools.
• Ability to work independently, communicate clearly, and take ownership of delivery.

• English level: Upper-Intermediate or higher.

   

🧩Nice to Have:

• Experience with Kafka, Kinesis, Pub/Sub, or other streaming/event-driven technologies.
• Experience with Delta Lake, Iceberg, Hudi, or other lakehouse table formats.
• Experience with Kubernetes.
• Experience in high-load, fintech, healthcare, telecom, eCommerce, SaaS, or analytics-heavy products.
• Experience with BI/reporting tools such as Tableau, Looker, Metabase, Power BI, or similar.
• Exposure to AI/ML or LLM-related data workflows.
• Experience with GCP or Azure data services.

🎯We Offer: 

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

What You’ll Own

• Build production systems for AI-driven vulnerability research and exploit development.
• Develop tooling for vulnerability discovery, triage, reproduction, and validation at scale.
• Work across OS internals, binaries, runtimes, kernels, dynamic analysis, instrumentation, and low-level performance.
• Partner with vulnerability researchers, security operators, and engineers to automate manual cyber workflows.
• Own problems end-to-end, from research and design to shipped production code.

Requirements

• 2+ years of vulnerability research, offensive security, or low-level engineering experience. Exceptional new grads with strong CTF, systems, or exploitation work will be considered.
• Hands-on experience with reverse engineering, binary analysis, exploit development, fuzzing, dynamic analysis, bug hunting, CTFs, or comparable low-level security work.
• Deep low-level systems fluency, including OS internals, kernels, runtimes, memory corruption, debugging, dynamic instrumentation, or performance-sensitive systems.
• Strong builder mindset and ability to ship reliable tools and production systems.
• Comfortable working in ambiguity and moving fast.
• Willing to relocate to Washington DC after an initial period, with full relocation support. The role is expected to be in-office 5 days per week.

Nice to Have

• Strong CTF background, especially pwn, rev, kernel, browser, or systems-heavy challenges.
• Published vulnerability research, CVEs, exploit writeups, or security talks.
• Experience with fuzzing, symbolic execution, emulation, program analysis, or binary rewriting.
• Open-source contributions to low-level security, reversing, debugging, tracing, fuzzing, or OS tooling.
• Exposure to ML / AI systems, especially applied to code, binaries, security automation, or program analysis.
• Early-stage startup, founder, or early-engineer experience.

What We Look For

• Strong vulnerability research instincts.
• Low-level technical depth.
• Builder mindset — able to turn research workflows into scalable systems.
• Comfort with ambiguity, speed, and high ownership.
• Motivation to help build a category-defining company in AI-native offensive cyber.

Must-have skills

• Ad-monetization domain (25%) — deep understanding of RTB, Header Bidding, Waterfalls, Fill Rate, eCPM/CPM optimization, and advertiser demand.
• Ad mediation platforms + mobile advertising SDKs (20%) — hands-on integration and optimization.
• Software development (20%) — strong backend, distributed systems, APIs, and performance optimization.
• Mobile development (15%) — Android and/or iOS.
• Analytical, data-driven optimization (12%) — analyze large-scale monetization data and implement data-driven improvements.
• High-scale consumer app experience (8%) — experience with high-scale consumer applications reaching millions of users.

Nice-to-have skills

• Hands-on with AppLovin MAX, Google Ad Manager, AdMob, Unity Ads, or IronSource.
• Building internal optimization engines using AI or Machine Learning.
• Familiarity with attribution, user segmentation, A/B testing, and predictive monetization models.

Responsibilities

• Design, develop, and optimize the core monetization infrastructure across multiple mobile applications.
• Improve ad waterfall and bidding performance to maximize eCPM, fill rate, ARPDAU, and total ad revenue.
• Integrate and optimize mediation platforms (AppLovin MAX, AdMob, LevelPlay, etc.).
• Build intelligent optimization systems for ad placement, frequency, segmentation, and pricing.
• Develop backend services and automation tools for real-time monetization decisions.
• Analyze monetization performance using large-scale data and implement data-driven improvements.
• Optimize SDK integrations, latency, memory usage, and overall ad performance.
• Work closely with Growth, Product, and Data teams to continuously increase LTV and user monetization.
• Research and implement new monetization technologies, bidding strategies, and demand sources.

What you'll own

• Increase overall monetization performance across millions of users.
• Maximize fill rate, eCPM, advertiser competition, and total revenue.
• Build the next generation of the monetization engine using automation and AI.
• Deliver measurable business impact through engineering excellence.

We are looking for a Senior Fabric Developer passionate about building systems that shape business outcomes. You will drive and manage large-scale data migration and modernization initiatives and work with cross-functional teams to deliver trusted, high-quality data that drives business intelligence, analytics, and innovation.

Responsibilities and Duties: 
- Strong Kimball/Medallion data warehouse expertise, delivered through Microsoft Fabric (Delta lakehouses, Spark notebooks) on an Azure SQL MI source. 
- Heavy AI-assisted development requires rigorous post-generation validation and code review. 
- Able to work near EST hours, up to 3 pm EST would be excellent, all the way to 5 pm EST would be perfect. 

Full-time remote job. 6-month contract.

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  · Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  · AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
  · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  · User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  · Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

• Mandatory Skills Description:

  Minimum 10 Years of experience in IT/Data.
  Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
  · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  · Strong technical skills in Python, PySpark, SQL, and data modelling.
  · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  · Ability to work independently and engage directly with non-technical business users.
  · Strong problem-solving mindset and ownership of delivery.

• Nice-to-Have Skills Description:

  · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  · Exposure to AIP Evals and evaluation/test-driven approaches.
  · Experience with integration patterns (APIs, MCP, cloud services).
  · Consulting or applied AI/ML background.

Description

Our client is looking for a hands-on Principal Data Engineer & Architect to lead the design, evolution, and execution of their core data engineering ecosystem. This role is built specifically for an elite technical leader who loves mapping out highly reliable distributed architectures but is driven by a strong desire to stay close to the metal—allocating approximately 70% of their time to writing mission-critical production code, core data libraries, and internal frameworks, and 30% to high-level architectural design, data infrastructure governance, and technical mentorship.
 

About Our Client

Our client is a venture-backed, AI-powered platform built specifically for consumer brands. It connects seamlessly to fragmented external sources like banks, POS systems, and advertising platforms to deliver daily profit & loss snapshots, cash flow plans, and peer benchmarking—all in real time. With integrations stretching across finance, e-commerce, and marketing tools, the platform provides the clarity and automation brands need to grow confidently.
 

What You’ll Do

Architect Data Infrastructure (70% Focus): Maintain a heavy, hands-on presence in the codebase. Author core data processing libraries, distributed computing frameworks, and high-scale data platforms in JavaScript (Node.js/NestJS) and Python to establish gold standards for the engineering team.

Design Data Systems (30% Focus): Design and evolve a robust, multi-tenant data architecture capable of handling massive datasets and high-throughput processing across hundreds of distinct data domains concurrently.

Data Quality & Governance: Establish bulletproof data integrity and observability patterns. Focus on robust processing workflows, comprehensive data validation, automated quality checks, and end-to-end distributed tracing across the data lifecycle.

Scale Data Pipelines: Define and enforce efficient data architectures, high-throughput streaming patterns, and transaction boundaries to guarantee accurate real-time financial reporting at scale.

Technical Leadership & Mentorship: Act as an elite technical sounding board for the engineering organization. Conduct comprehensive architecture reviews, upskill senior engineers, and champion modern DevOps, testing, and deployment workflows.
 

What We’re Looking For

Deep Industry Experience: 8+ years of professional software engineering experience, with a proven history of designing, deploying, and maintaining large-scale data processing and distributed data infrastructure solutions.

Polyglot Mastery in Data Engineering: Highly proficient in both JavaScript/TypeScript (Node.js, NestJS) and Python, with the ability to build sophisticated data pipelines and distributed systems using each language’s native strengths.

Advanced Data Engineering & Architecture Expertise: Extensively experienced with distributed systems, high-scale storage solutions, query optimization, and complex data architecture patterns for massive, high-velocity datasets.

Data Modeling & Schema Excellence: Expert-level understanding of relational (SQL) and non-relational (NoSQL) databases, schema design, complex data validation, mapping workflows, and ETL pipeline design.

True Builder Mentality: A strong architectural thinker who actively rejects the “ivory-tower” approach and remains deeply passionate about shipping high-quality production code every single week.
 

Would Be a Plus

Direct technical experience within FinTech, e-commerce SaaS platforms, or real-time data streaming architectures (e.g., Kafka, RabbitMQ).

Familiarity with financial data aggregates or banking networks (e.g., Plaid, Yodlee, Stripe).

Experience setting up data ingestion pipelines optimized for downstream AI/LLM analysis models.
 

What We Offer

Highly competitive principal-level base salary + substantial early-stage equity package.

Comprehensive medical, dental, and vision insurance coverage.

Flexible, remote-first working culture with an elite engineering group.

Direct technical influence over the foundational platform architecture of a fast-growing, venture-backed startup.

Шукаємо у команду Senior DevOps / SRE Engineer (Remote).

Якщо ви маєте бажання працювати в невеликому колективі разом із сильною командою, радо розглянемо ваш відгук! Ми шукаємо не лише сильного DevOps Engineer, а й інженера із досвідом Site Reliability Engineering (SRE), який готовий брати на себе технічне лідерство, ділитися знаннями та допомагати розвиватися іншим членам команди. Націлені на довгострокову співпрацю з компенсацією, що базуватиметься на вашому досвіді роботи.
 

Завантаженість: повна зайнятість — 40 год/тиждень. Робота віддалена. Оплата погодинна.
 

Стек технологій:

- Scripting: Bash | Python | Makefile

- Containers and Orchestration: Kubernetes | Docker | GKE

- Infrastructure as Code (IaC): Terraform | Ansible

- CI/CD & Automation: GitHub Actions | CircleCI | TravisCI

- Cloud Providers & IaaS: AWS | GCP | Azure | Hetzner

- Databases: SQL | NoSQL (PostgreSQL, Redis…)

- Authorization and Security: OpenSSL

- Observability and Monitoring: Prometheus | Grafana | ELK Stack (Elasticsearch, Logstash, Kibana)

- Operating Systems: Linux
 

Site Reliability Engineering (SRE):
- SLI / SLO / SLA | Incident Response | Root Cause Analysis (RCA) | - High Availability | Capacity Planning | Disaster Recovery | 
- Performance Optimization | Reliability Engineering | 
 

Буде плюсом:

- Infrastructure Management: Developing and implementing infrastructure, configuration, and code branching strategies.

- Quality Assurance & Testing: Conducting integration, regression, UI/UX, API, load/stress, and other types of testing.

- Bug Tracking & Issue Management: Identifying, documenting, and tracking software defects and bugs.

- Performance & Optimization: Monitoring and analyzing quality metrics to identify areas for improvement.

- Automated Testing: Experience with automated testing frameworks such as Selenium, Appium, JMeter, etc.

Mentoring & Leadership:
- Досвід менторингу Junior/Middle інженерів, проведення code review, технічних обговорень, knowledge sharing та допомоги команді у професійному розвитку.
 

Вимоги до кандидата:

- Досвід роботи DevOps Engineer та практичний досвід Site Reliability Engineering (SRE)
- Досвід побудови та підтримки високодоступних production-систем із високими вимогами до reliability.

- Досвід роботи з Kubernetes у production-середовищі

- Розуміння принципів високої доступності, масштабування та відмовостійкості систем

- Досвід побудови та підтримки CI/CD процесів

- Англійська мова — Intermediate+

- Уміння слідувати code conventions

- Здатність навчатися

- Здатність наполегливо працювати

- Критичне мислення

- Витривалість

- Спроможність лаконічно та чітко пояснювати свою думку

- Бажання ділитися знаннями, проводити менторинг та допомагати розвиватися іншим членам команди

- Відданість нашим проєктам

- Прозорість
 

Що отримаєте:

- Віддалені умови роботи

- Удосконалення навичок планування та продуктивності

- Робота у вимогливому, але дружньому середовищі серед A-гравців

- Регулярний зворотний зв'язок і допомога в плануванні вашого навчального процесу та кар'єрного зростання

- Незалежність від місцевого ринку та долучення до глобальної економіки

- Підвищення рівня володіння англійською мовою

- Корпоративні навчання, технічні воркшопи та тренінги для постійного підвищення кваліфікації

DevSecOps Engineer (Senior)

Location: Remote
 

About the Role

We are looking for a highly skilled and strategic Senior DevSecOps Engineer to lead our security operations and infrastructure automation initiatives. In this role, you will bridge the gap between development, security, and operations, ensuring our on-premise environment remains secure, resilient, and efficient.

You will act as a subject matter expert, leveraging cutting-edge tools like CrowdStrike to automate threat detection and response, while maintaining robust perimeter security via Cloudflare.

Key Responsibilities

• Implementation and automation of security tools in the CI/CD process (SAST, DAST, SCA).
• Analysis of vulnerabilities in code, infrastructure and containers.
• Development and configuration of security monitoring systems, incident response.
• Monitoring and improving the security level of on-prem infrastructures.
• Interaction with developers, DevOps and security teams to implement secure practices.
• Active participation in the processes of IAM configuration, management of certificates, secrets and access policies.
• Conducting internal security audits, participation in external (e.g. penetration) tests.

Requirements

Must-have:

• Experience: 5+ years of experience in DevSecOps, Security Engineering, or a related field, with at least 2 years in a Senior role.
• Tooling Expertise: Deep hands-on experience with the following specific tools:
• Baremetal/on-premise infrastructure
• Docker (Docker Swarm is a strong plus)
• Gitlab CI 
• CrowdStrike
• Cloudflare
• ELK.
• SIEM Proficiency: Proven experience deploying and tuning SIEM solutions (e.g., Splunk, Elastic Security, Datadog, or similar).
• Infrastructure: Strong background in managing on-premise infrastructure (physical servers, data centers, virtualization, networking).
• Scripting: Proficiency in Python, Go, or Bash for automation and tooling.
   

Nice-to-have:

• Experience with Kubernetes and such tools as Wiz.io and Torq.
• Previous involvement in high-load, regulated, or 24/7 production environments (e.g., iGaming, FinTech, telecom or similar).

We offer

• Fully remote work opportunity
• Enhanced leave benefits:
• 20 days of paid vacation
• 5 paid days off
• 14 paid sick leaves
• Company clubs & communities
• Celebration gifts for personal milestones
• Corporate online events, raffles & challenges
• Corporate English program
• Corporate yoga classes
• Team-building activities
• Coworking compensation
• Training and development programs (internal & external).