Jobs Data & Analytics

We are a fast-growing product iGaming holding operating multiple brands across international markets. Our Analytics Department plays a key role in product and marketing decision-making by delivering reliable data, actionable insights, and scalable BI solutions.

As our business continues to grow, we're expanding the team and looking for a BI Analyst to help develop our reporting infrastructure and support business growth through data.

What you'll do:

• Develop and maintain interactive dashboards in Power BI
• Build and optimize SQL queries for large datasets
• Analyze product and marketing performance
• Monitor key business metrics such as Traffic Quality, Retention, LTV, ARPU/ARPPU
• Provide insights and recommendations based on data
• Improve reporting quality and automate manual reports
• Ensure data consistency and maintain reporting standards
• Collaborate with Product, Marketing, and other business teams

What we're looking for:

• 2+ years of experience as a BI Analyst or Data Analyst
• Strong SQL skills (JOINs, CTEs, Window Functions, Subqueries)
• Experience with Power BI and DAX
• Experience building dashboards and reports
• Understanding of product or marketing analytics
• Advanced Excel / Google Sheets skills
• English (B1–B2)

Nice to have:

• Experience in iGaming / Betting / Gambling
• Python or R
• Advanced DAX
• Cohort analysis and RFM segmentation
• Experience working with DWH teams
• Experience analyzing affiliate or acquisition traffic

Why join us:

• Fully remote
• Flexible working hours
• Opportunity to work on a growing international iGaming product
• Strong Analytics team with real business impact
• Challenging analytical tasks and large datasets
• Opportunity to influence business decisions through data
• Performance-driven culture with minimal bureaucracy

If you're interested, feel free to reach out or send your CV

We are looking for a security-first Cloud DevSecOps Engineer to design, automate, and protect our multi-cloud infrastructure across AWS and Azure. In this role, you won't just build pipelines—you will bake security directly into them. You will work closely with our development and engineering teams to enforce a "Shift Left" culture, ensuring that automation, scalability, and airtight cloud compliance go hand-in-hand.

Core Responsibilities

·  Multi-Cloud Automation: Build and manage highly available infrastructure across AWS and Azure using Infrastructure as Code (Terraform).

·  Pipeline Hardening: Design and secure CI/CD pipelines (GitHub Actions, Azure DevOps, or GitLab), embedding automated vulnerability scanning, SAST/DAST, and container scanning tools.

·  Identity & Secrets Access: Enforce zero-trust architecture across both platforms via robust IAM strategy, RBAC, and secure secrets management (HashiCorp Vault, Azure Key Vault).

·  Container Security: Deploy, manage, and harden containerized workloads running in Kubernetes (EKS & AKS).

·  Compliance & Monitoring: Continuously audit cloud posture using AWS Security Hub and Azure Defender to ensure alignment with frameworks like SOC2, ISO 27001, or CIS benchmarks.

Key Qualifications

·  Experience: 3+ years in a cloud operations or infrastructure role managing production environments in both AWS and Azure.

·  Tools: Deep familiarity with Terraform, Docker, Kubernetes, and scripting languages (Python, Bash, or PowerShell).

·  Security Mindset: Practical knowledge of cloud network security, data encryption, and vulnerability management.

·  Certifications (Preferred): AWS Certified Security/DevOps Professional, Azure Security Engineer (AZ-500), or CKS (Certified Kubernetes Security Specialist). Here is a concise, targeted job description for a DevSecOps Engineer/Architect, shifting the focus from high-level cloud design to the hands-on engineering, automation, and pipeline integration of those security products and guardrails.

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: We’re looking for an AI Engineer who wants to build production-grade AI systems, not just experiment with demos. This is a high-ownership, greenfield role where you’ll help build our AI platform from scratch, working directly with the Head of AI.  You’ll own initiatives end-to-end — from discovery and architecture decisions to production delivery — and play a key role in shaping how AI is used across the company.

You’ll work with a modern AI stack including Claude/OpenAI/Bedrock, RAG pipelines, eval frameworks (Promptfoo, Ragas, LangSmith), and agentic patterns. This role is ideal for someone who enjoys autonomy, strong engineering ownership, and proactively identifying the next highest-leverage opportunity to drive into production.

In this role, you will:

• Design and build RAG and automation workflows inside our VPC environment.
• Create integrations across engineering, communication, and knowledge-management systems (Jira, Confluence, Slack, Google Drive, Git).
• Develop AI-powered pipelines for code quality checks, ticket auto-classification, documentation updates, release notes, and meeting summaries.
• Work on prompt engineering, model selection and routing (Haiku / Sonnet / Opus), and workflow optimization.
• Build evaluation and regression frameworks for AI workflows to prevent model-upgrade regressions.
• Create lightweight dashboards for engineering leads to surface delivery patterns and bottlenecks.
• Own initiatives end-to-end: scope → design → ship → measure → iterate.

It’s all about you:

• 5+ years of production experience with Python (services, async, API integrations, clean and testable code).
• Hands-on experience with LLM APIs in production: Anthropic Claude (Opus/Sonnet/Haiku), OpenAI, AWS Bedrock.
• Strong understanding of RAG systems: chunking, embeddings, hybrid search, re-ranking, grounding/citations.
• Prompt engineering + structured outputs + tool/function calling.
• Experience with eval/regression frameworks: Promptfoo, Ragas, LangSmith, or custom evaluation harnesses.
• Agentic patterns: ReAct, function-calling loops, fallbacks.
• Vector databases: pgvector, Pinecone.
• Workflow orchestration: n8n, Airflow, or custom orchestration systems.
• Observability: token-spend tracing, latency monitoring, model routing.
• Solid AWS fundamentals: IAM, Lambda, S3, CloudTrail — comfortable deploying inside VPC environments independently.
• CI/CD + pipeline hooks (GitLab/GitHub), webhooks, event-driven architectures.
• Basic SQL skills for analytical queries and metrics dashboards.
• Driver mindset: proactively identifies the highest-leverage opportunity and drives it to production
• B2 English level

Would be a plus:

• Real REST integrations with 2–3+ APIs
• Experience with workflow orchestration tools.
• Prompt evaluation tooling such as  LangSmith is nice to have
• Experience with Docker
• RAG experience: embeddings and vector stores (pgvector, Pinecone, or similar) for knowledge base use cases

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
• 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

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide
 

About your role: In this role, you will directly influence product growth and monetization by improving Recommendation Systems for gifts and coins. You’ll work end-to-end on ML solutions — from defining the Data Science roadmap and running experiments to deploying production-ready models — while collaborating closely with Product Managers, Analysts, and Engineers. The role offers a combination of hands-on machine learning, recommendation systems, MLOps, and strategic ownership in a fast-paced product environment where your work will have visible business impact.

In this role, you will

• Create, develop, and improve machine learning models to enhance business performance and product effectiveness
• Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements
• Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency
• Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments
• Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure
• Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science

It’s all about you

• 4+ of Machine learning and deep learning on tabular data, Recommendation systems. 
• 4+ years of software development experience in Python with experience working with ML and DL
• Experience in designing a data science roadmap and the leading technical execution of the project
• Experience with Cloud development AWS/GCP
• Experience of deploy API models on Dev/Prod environment
• Practical understanding of A/B tests process
• Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.
• Extensive SQL knowledge

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

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen.

About the role: In this role, you will strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.

In this role, you will

• Drive deep-dive analyses of user behaviour, retention, and monetization
• Independently design, monitor, and evaluate A/B tests and experiments
• Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
• Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
• Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
• Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability

It’s all about you

• Experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
• Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
• Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
• Ownership mindset, strong communication skills and structural thinking that will allow you to  translate complex data into actionable business recommendations for both technical and non-technical stakeholders
   

Would be a plus

• Experience with GBQ, Python and R for analytics
• Familiarity with cohort analysis, LTV modelling, and churn prediction
• Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work

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
• 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 
• Workspace rental reimbursement in other cities and abroad
• 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
• Reference check
• Offer

We are hiring on behalf of our client, a fast-growing FinTech company operating VASP and crypto exchange platforms across Asia, Europe, and Canada.

This is a senior leadership opportunity for an experienced risk professional who understands real payments, global acquiring, fraud prevention, and payment optimization.

If you have experience with multi-PSP / multi-MID environments, chargeback management, and payment risk strategy, this role offers the opportunity to make a direct commercial impact within a global payments ecosystem.

What You’ll Be Doing

• Lead and enhance the company’s global Risk Management Framework
• Monitor and optimize payment flows, approval ratios, and cascading logic
• Manage fraud prevention systems, chargebacks, and dispute processes
• Ensure compliance with Visa & Mastercard monitoring programs
• Work closely with international PSPs, acquirers, and banking partners
• Analyze fraud trends and transactional risks using data-driven insights
• Develop dashboards, reporting structures, and risk analytics
• Lead and mentor a team of Risk & Chargeback Analysts
• Collaborate cross-functionally with Finance, Tech, BI, and Operations teams

What We’re Looking For

• 3+ years of experience in Risk, Fraud Prevention, Payments, or FinTech
• Strong understanding of multi-PSP / multi-MID infrastructures
• Experience with chargeback management and fraud monitoring tools (Ethoca, Verifi, etc.)
• Knowledge of Visa & Mastercard compliance programs
• Strong analytical skills with experience using Excel and Power BI
• Ability to work in a fast-paced, global environment

Why Join?

• Work within an international FinTech and Crypto payments environment
• Be directly involved in payment optimization and revenue growth
• Collaborate with global PSPs, banks, and acquiring partners
• Lead impactful risk initiatives across multiple jurisdictions
• Join a fast-moving, data-driven organization with strong growth potential

If you're passionate about payments, fraud prevention, and risk strategy, we’d love to hear from you.

Requirements:

• 5+ years in Quality Assurance with a proven track record in Data Warehousing and ETL testing.
• Solid experience working in fast-paced Scrum environments and understanding the QA lifecycle within short delivery sprints.
• Advanced ability to write complex queries to audit data logic.
• Hands-on experience with testing frameworks such as PyTest (Python) or NUnit/xUnit (C#).
• Advanced SQL skills for querying source databases to create baseline data for comparisons.
• Deep understanding of data-specific concepts like schema evolution, data truncation, null handling, and referential integrity.
• Work closely with data engineers to integrate your automated data and model tests into our deployment pipelines (Azure DevOps / GitHub Actions) to prevent bad data from reaching production.
• High-level professional proficiency in English (written and verbal) for technical documentation and stakeholder communication.
• Strong problem-solving skills with the ability to identify "the needle in the haystack" within millions of rows of data.

Nice-to-Haves:

• Experience using Azure DevOps (AzDO) or Jira for test case management and bug tracking.
• Familiarity with Azure services (Function apps, ADLS etc).
• Experience in testing web services/APIs.

Job Responsibilities

• Create comprehensive manual and automated test plans tailored to ETL workflows and Data Warehouse architectures.
• Perform rigorous testing to ensure data flows correctly and accurately from diverse source systems to target tables
• Design and implement automation scripts to validate data integrity, completeness, and transformation logic at scale.
• Identify and track data discrepancies, collaborating closely with Data Engineers to perform root-cause analysis on failures.
• Actively participate in Scrum ceremonies to refine requirements, estimate data-related tasks, and provide quality-based recommendations

Department/Project Description

Our Client is one of the major players in automotive aftermarket in the USA. The car repair, automotive touch-up and car care solutions are designed to help body shops put quality vehicles on the road.
Pattern Marketplace platform is an advanced tool that enables cutting paint protection film and window film.

Full-time
6months+
EU Only

About the Client
A major North American energy company — one of the largest players in energy infrastructure and distribution on the continent. The organization is investing in AI to modernize how it operates at scale, building LLM-based agentic systems to support decision-making and automation across a complex, data-rich environment. You'll join a team applying cutting-edge AI engineering to real production problems in a large, established enterprise.

Overview
You'll work on an AI/LLM platform built around agentic systems — designing, orchestrating, and hardening multi-agent workflows in production. This is a deeply hands-on engineering role focused on making LLM-based systems reliable, fast, and measurable, not just wiring up prompts.

Responsibilities

• Agentic systems: Build and operate multi-agent architectures — agent roles, triggers, handoffs, orchestration.
• RAG pipelines: Set up, tune, and fine-tune RAG systems end-to-end — chunking strategies, retrieval quality, iteration.
• Reliability engineering: Implement self-healing behavior — infinite-loop mitigation, graceful failures, clean handoffs between agents.
• Memory systems: Design and implement shared-memory concepts, with emphasis on fast memory.
• Evaluation & KPIs: Build evaluators of LLM performance, define KPIs, and automate evaluation (golden images, sample sizing).
• Performance & cost: Apply caching and token-optimization strategies to keep systems fast and economical.

Who You Are

• A hands-on builder who's actually shipped agentic/LLM systems, not just experimented with them
• Rigorous about reliability and measurement — you treat evals and failure modes as first-class work
• Comfortable owning ambiguous, fast-moving AI infrastructure end-to-end

Tech Stack You'll Work With
Core: Python, LLM tooling (llama / ollama), CUDA
AI systems: Multi-agent orchestration frameworks, RAG pipelines, LLM evaluation tooling
Concepts: Shared/fast memory, self-healing patterns, caching & token optimization, chunking strategies
Cloud: Azure (strong advantage)

Qualifications
Must-Have

• Strong hands-on experience with agentic systems (multi-agent orchestration, agent roles, triggers, handoffs)
• Strong hands-on experience building, tuning, and finetuning RAG pipelines (incl. chunking strategies)
• Experience with LLM performance evaluation — building evaluators, defining KPIs, automating them
• Self-healing / resilience implementation (loop mitigation, graceful failures, handoffs)
• Shared memory concepts and implementation, especially fast memory
• Caching and token-optimization strategies
• Python; llama/ollama; CUDA

Nice-to-Have

• Azure (products relevant to the above) — strong advantage
• Mistral — strong advantage
• Golden images and sample-size methodology for evaluation

Job Description

We are seeking a software engineer with an excellent background in Python to join the core team responsible for the client's company data refinery flow. The team aims to make data accessible for deep learning and feature teams working on an Autonomous Driving solution.

Required competences and knowledge:

• Advanced Python: OOP, software design patterns, TDD, concurrency, algorithms, and libraries (pandas, numpy, plotly, pytest).
• Databases & SQL: Advanced PostgreSQL (query analysis, functions, caching, partitioning), alembic, and SQLAlchemy.
• Data Engineering: Building ETL pipelines and handling data container structures (.mf4, .hdf5, .pcap, etc.).
• Core DevOps & Tools: Linux, Shell scripting, Git, Docker, and AI-driven development tools (GitHub Copilot).
• System Design & Agile: Pipeline architecture (UML diagrams) and Agile/Scrum workflows (Jira, Confluence).
• Minimum B2 Level English skills

It would be a plus if the candidate has the following skills and experience:

• Orchestration & CI/CD: OpenShift, Apache Airflow (YAML configuration), Singularity containers, and Zuul/Gerrit/GoCD pipelines.
• API and Message Broker: REST APIs (FastAPI, Flask) and Kafka Message Broker.
• DevOps Utilities: Modern package management (uv), Artifactory policy management, and Grafana monitoring.
• Basic C++

Job Responsibilities

Contribute to various activities related to vision data refinery, some examples:

• Implementing and extending tools for automatic checking of raw data and annotation quality
• Automation of the data exchange with annotation companies
• Data curation (gathering data into collections according to the requirements of deep learning and feature teams)
• Development and monitoring function/feature KPIs (how changes in data influence function/feature performance and quality)
• Improving the speed and efficiency of data and training pipelines
• Implementing a dashboard for monitoring data collection, storage, and annotation
• Development of micro services/API towards external users

Department/Project Description

Our client is a Tier-1 Automotive company from Europe, developing full-stack software solutions that include algorithms for functions ranging from sensing to vehicle control, and targets a variety of applications from ADAS to advanced AD cars.

We are looking for a Senior Software Engineer – Platform Modernization to lead development efforts focused on improving system scalability, modernizing backend services, and enhancing infrastructure and data systems within a high-scale, event-driven architecture.

The platform is built on a robust event-driven design and already supports scalable real-time processing and analytics. The goal of this role is to further expand its capabilities to meet growing technical and business demands.

As a senior member of the engineering team, you will play a key role in shaping the future of the platform by driving architectural improvements, increasing system reliability, and optimizing performance across core services. Your work will have a direct impact on the scalability, stability, and efficiency of mission-critical systems.

Responsibilities
 

• Develop and maintain modular, containerized microservices using .NET Core within a distributed architecture.
• Implement event-driven communication and streaming data flows using Kafka, RabbitMQ, and MassTransit.
• Collaborate with product leads and engineering leadership to translate business requirements into scalable technical solutions.
• Lead migration efforts from legacy components built on technologies such as .NET Framework and MSMQ into modern, cloud-ready services.
• Participate in design reviews, promote clean code practices, and apply Domain-Driven Design principles.
  
  Requirements
   
• Minimum 4 years of experience in backend development.
• Proven expertise in big data and messaging systems — Kafka and RabbitMQ are mandatory.
• Experience with relational and NoSQL databases, including MSSQL, PostgreSQL, MongoDB, Redis
• Familiarity with MSMQ for legacy system understanding and migration - advantage
• Strong proficiency in .NET Core, .NET Framework, and C#.
• Experience in infrastructure development, including cloud-native and general-purpose systems - advantage
• Experience with AWS services (e.g., ECS/EKS, Lambda, RDS, S3, CloudWatch) - advantage
• Hands-on experience with MassTransit or other orchestration libraries - advantage
• Solid understanding of distributed systems, microservices, and event-driven architectures.
• Experience with API design, documentation, and governance.
• Knowledge of security best practices, including OAuth2, JWT, and secrets management.
• Strong debugging, profiling, and performance optimization skills.
• Passion for clean code, testing, and continuous improvement.
• Strong communication skills and a proactive approach to problem-solving.
• Ability to mentor junior developers and contribute to team growth.
  
  Bonus Skills
• Exposure to JavaScript/React for cross-layer collaboration.
• Familiarity with CI/CD pipelines, containerization, and infrastructure as code.

Adaptiq, on behalf of AppsFlyer, is looking for a Data Engineer

About AppsFlyer (Kyiv):

AppsFlyer provides a SaaS marketing analytics platform that measures and optimizes marketing activities across mobile, web, CTV, PC, and console applications. AppsFlyer is known for its massive backend production. At any given moment, thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests, and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission-tailored analytical databases, and carefully crafted APIs we are able to provide slice-and-dice analysis in our beautiful dashboards and through the use of external integrations.

About the Role:

As a Data Engineer in AppsFlyer’s Analytics group, you will be responsible for the full lifecycle of event data — from ingestion and processing to storage, modeling, and delivery through APIs.

You will build and maintain data pipelines with Apache Airflow and Spark, evaluate and optimize analytical databases, and integrate new components within a hybrid microservices architecture. You will work closely with product managers and cross-functional engineering teams, handle production issues, and take part in the company’s migration toward Google Cloud and BigQuery.

This role provides a high level of ownership over feature design, direct impact on a platform processing billions of events every day, and opportunities to contribute to open-source initiatives or share expertise at industry events.
 

Key Responsibilities:

• Develop and support data processing pipelines using Apache Airflow, Scala Spark, or PySpark.
• Select, design, and optimize analytical databases for high-volume, low-latency queries.
• Build backend services and APIs for data ingestion, aggregation, and customer-facing data consumption.
• Monitor system reliability and performance, investigate issues, and resolve production incidents.
• Partner with product managers and engineering teams to plan, design, and deliver complex features.
• Support migration initiatives to Google Cloud Platform, BigQuery, and modern data technologies.
• Participate in on-call rotations, PagerDuty alerts, and incident response processes.
• Document architecture, data flows, and technical decisions while maintaining high code quality and test coverage.
   

Required Competence and Skills:

• 3+ years of software development experience with a strong focus on data engineering.
• Hands-on experience with Apache Spark, using either Scala or PySpark.
• Practical experience with Apache Airflow.
• Background in building and maintaining distributed data systems with high throughput and low latency.
• Strong SQL knowledge and experience with data modeling for analytical use cases.
• Experience with JVM-based languages such as Scala, Java, or Clojure, or Python for backend development.
• Experience with cloud platforms, preferably GCP, and data warehouses such as BigQuery.
• Proven ownership of production systems, including on-call responsibilities and incident management.
• Strong English communication skills for working in a distributed environment.
• B.Sc. in Computer Science or equivalent practical experience.
   

Nice to Have:

• Production experience with large-scale databases and ETL tools.
• Hands-on experience with backend services written in Go or Clojure.
• Experience building production-grade BigQuery ETL processes and data pipelines.
• Contributions to open-source projects or experience speaking at meetups, conferences, or industry events.
• An AI-oriented mindset, including familiarity with tools such as GitHub Copilot and modern AI-assisted workflows.
  
  Benefits Package:
• Health insurance.
• Paid unlimited vacation days, national holidays, and additional recharge days.
• Meal reimbursement.
• Sport reimbursement.
• Breakfast in the office.
• Mental health program.
• Team buildings, happy hours, and other team activities.
• Paid sick leave.
• Snacks, fruits, and ice-cold beer in the office.
• Brand-new Mac laptop, two monitors, and a starter package for every new team member.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We’re looking for a success-driven Database Administrator for one of our clients.

Full-time, long-term position with the flexibility to work either from the office or remotely.

Responsibilities:

— Act as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and setup changes.

— Maintain and support MongoDB databases across both Atlas and on-prem environments.

— Maintain and support SQL Server and PostgreSQL databases in on-prem and AWS environments.

— Monitor database systems for health, performance, and availability.

— Advise software engineers on SQL query optimization and database schema design.

— Minimize database downtime and manage High Availability (HA) and Disaster Recovery (DR) strategies.

— Plan and contribute to long-term scalability and database architecture.

— Implement database changes, apply patches, and manage version upgrades.

— Assist with building and maintaining data extraction pipelines from MongoDB and SQL Server.

— Participate in the on-call rotation to support production systems.

Requirements:

— 4+ years of combined experience across data platforms, including at least 2 years in a DBA role (MongoDB and relational databases, infrastructure, and application support).

— Hands-on data engineering experience (Airflow preferred).

— AWS experience (minimum 1 year).

— Advanced T-SQL development skills.

— Proficiency with Git and modern code management workflows.

— Strong understanding of backup, recovery, security, and data integrity principles.

— Excellent problem-solving skills with strong algorithmic thinking.

— Ability to work effectively in a fast-paced environment and meet deadlines.

— Fluent in English.

Nice to Have:

— Experience with dbatools, Redgate SQL Toolbelt, Coralogix.

— Exposure to CI/CD pipelines and Liquibase.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.
We are now looking for an Integration Engineer to make the Integration process at Competera clear, consistent, and repeatable.

You could be a perfect match for the position if
You want to:

• Organize technical integration between Competera Pricing Platform and customers;
• Communicate with customers’ IT and commercial teams in their business hours;
• Supervise integration partners (contractors) and assist them with ETL creation and support;
• Maintain data validation (analyze, validate, troubleshoot data issues) and suggest options for process improvement and automation.

You have:

• SQL (mid +);
• Upper-intermediate level of English;
• Transformation from business request to technical requirements;
• Presentation and business communications skills Critical thinking, problem-solving, Quick learner;

• Ability to work under minimal guidance;

  Requirements (extra):

• Basic Core Python, Airflow;
• Experience with retail, enterprise customers.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies;
• Remote-first ideology: freedom to operate from the home office or any suitable coworking;
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on;
• Regular performance and compensation reviews;
• Recurrent 1-1s and measurable OKRs;
• In-depth onboarding with a clear success track;
• Competera covers 70% of your training/course fee;
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays;
• 20 business days of sick leave;
• Partial medical insurance coverage.

Drive innovations with us. Be a Competerian.

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.

What We're Looking For

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to.

We’re looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. Our Analysts analyze raw data, not only pre-aggregated data, to extract just the right information and diagnose what is happening on our site.

The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization, and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, we’re looking for experienced analysts who can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we haven’t measured or used new ways to explain user retention, or analyzed features of users' data that we haven’t analyzed.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

What You'll Do

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

Requirements

• A minimum of 5 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Understanding of website development and operations and how they connect to data gathered.
• Experience with data visualization tools (Looker/Tableau/PowerBI, etc.)
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;