Jobs Data & Analytics

About AIstats

AIstats is transforming the football data market by moving from 2D to 3D, powered by a cutting-edge Computer Vision and Machine Learning ecosystem that unlocks deep insights for both fans and professionals.

What we build

Advanced Football Analytics — a mobile app for football fans an— a mobile app for football fans and bettors that reached 100k MAU in less than a year, featuring advanced statistics powered by our proprietary ML and Computer Vision technologies.

Advanced Analytics for Football Clubs — a next-generation analytics platform helping football clubs, scouts, and agents make smarter decisions both on the pitch and in the transfer market. Thanks to our early leadership in skeletal tracking data, AIstats secured several Tier-1 club partnerships within months of launching the platform.

Responsibilities

• Develop and improve statistical and machine learning models
• Analyze large-scale datasets using Python and SQL
• Conduct statistical analysis, hypothesis testing, and experiment evaluation
• Build interpretable ML solutions and explain model behavior
• Collaborate with cross-functional teams on data-driven initiatives

Requirements

• 3+ years of experience as a Data Scientist
• Strong Python skills with NumPy, Pandas, and scikit-learn
• Solid SQL knowledge; R is a plus
• Strong understanding of probability theory and mathematical statistics
• Experience with statistical testing: t-test, χ², ANOVA, Mann-Whitney, Wilcoxon, KS test, bootstrap/permutation tests, Bonferroni and FDR corrections
• Hands-on experience with XGBoost, LightGBM, and CatBoost
• Understanding of Bayesian methods
• Experience with longitudinal/panel data, mixed/fixed/random effects models, and repeated measures
• Experience with interpretable ML approaches: GAM, SHAP, partial dependence, counterfactual analysis

Nice to Have

• Experience with deep learning: Transformers, attention mechanisms, RNN/LSTM
• Knowledge of Graph Neural Networks
• Experience with Reinforcement Learning: PPO, MAPPO, MAT, multi-agent RL
• Familiarity with Google Research Football or similar environments
• Advanced Bayesian statistics: PyMC, Stan, numpyro, MCMC, hierarchical models
• Experience with causal inference: DAGs, instrumental variables, difference-in-differences
• Knowledge of probabilistic spatial models: Markov chains, HMM/DBN, MRF/CRF, Gaussian processes

What we offer

• Fully remote work format;
• Flexible start of the working day and convenient schedule;
• Stable competitive salary pegged to the USD;
• 24 days of paid vacation and 15 additional paid days off (including sick leave, corporate holidays, and national/religious holidays);
• Friendly communication culture, great product, and transparent processes;
• Dynamic work environment with a passionate team that loves sports and technology;
• Opportunities for professional growth and career development;
• No micromanagement — just trust, autonomy, and freedom to experiment.

Join our team and help drive innovation in the football industry!

Join Zutobi - a fast-growing global edtech company revolutionizing driver education!
At Zutobi, we're on a mission to empower people through digital learning. Our flagship product, Zutobi Drivers Ed, helps millions of learners prepare for their driver's license exams through engaging and innovative learning experiences.
 

Our team is growing, and we're looking for a DevOps Engineer to join our existing DevOps team and help us scale our infrastructure, improve automation, and keep our services reliable as we grow. 

We use Kubernetes (GKE) as our primary platform, so hands-on experience is a plus - but if you're strong on the fundamentals and eager to learn, we'll get you up to speed.
 

What you'll do:

• Build, optimize, and maintain CI/CD pipelines to streamline development and deployment.
• Monitor and improve system reliability, scalability, and security.
• Automate cloud infrastructure management and configuration.
• Collaborate with developers to design and implement infrastructure best practices.
• Troubleshoot and resolve infrastructure-related issues, owning problems end to end.
• Ensure high availability and performance of our production environments.

What we're looking for:

• 2+ years of experience in DevOps (or 3+ years in SysAdmin) - comfortable owning tasks independently, not just executing tickets.
• Strong Linux skills: scripting (bash), monitoring (Prometheus, Grafana, Zabbix), log analysis, database management, backup and restore.
• Solid hands-on experience with Docker.
• Understanding of security best practices and infrastructure automation.
• English level: B2+ (we work in an international environment).

Nice-to-have: 

• Experience with Google Cloud / GKE (our primary platform), or AWS.
• Kubernetes, Terraform, Helm.
• CI tooling: GitLab CI, GitHub Actions.

💙 What we offer

• Culture: Empowering, ’Bottom Up’ culture valuing initiative, collaboration, and continuous learning, aligned with values of Safety, Simplicity, Modernity, Encouragement, Helpfulness, and Accountability.
• Impact & Growth: Work with an industry-leading product (250,000+ monthly users, 10M+ downloads).
• Innovation: Freedom to innovate and utilize expertise in a company that encourages ideas and initiative.
• Work Flexibility: Remote work with flexible 40-hour/week schedule, accommodating team meetings and collaboration.
• Vacation: 20 business days (4 weeks) annual leave.
• Sick Leave: 20 business days (4 weeks) annual sick leave.
• Holidays: Ukrainian public holidays are default days off.
• Learning & Development: Reimbursement for development courses/training, fostering a continuous professional development culture where employees seek opportunities and managers coach teams.

About AppsFlyer:

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 microservices, backends, and infrastructure, and 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-Oriented Backend Engineer within the Analytics group at AppsFlyer, you will own the end-to-end journey of event data — from ingestion and processing to storage, modeling, and API delivery.

You will design and implement end-to-end features — from streaming and batch data processing to database modeling and API development, design and implement data pipelines using, choose and optimize analytical databases, and integrate new components in our hybrid microservices environment while collaborating closely with product managers and cross-functional engineering teams. You will tackle challenges around real-time data delivery, high-throughput processing, and production reliability, contributing to our CI/CD infrastructure and observability tooling. This role offers autonomy to influence architecture, mentor peers, and extend our open-source or community presence through talks and publications.

Key Responsibilities:

• Implement end-to-end backend and data infrastructure features, including streaming and batch pipelines, storage selection, and schema modeling.
• Collaborate with product managers and cross-functional teams to define, prioritize, and deliver complex analytics services.
• Design and optimize high-throughput, low-latency distributed systems to meet performance and scalability targets.
• Develop and maintain microservices-based APIs that serve real-time customer requests.
• Build and operate data ingestion and processing workflows using modern orchestration frameworks.
• Perform root cause analysis on production incidents, drive resolutions, and participate in on-call rotations.
• Enhance self-serve CI/CD pipelines and improve observability tooling to increase delivery velocity and system reliability.

• Share expertise through internal or external talks, blog posts, and contributions to open-source projects.

   

  Required Competence and Skills:

• Minimum 3 years of software development experience, with a focus on backend engineering with any of the programming languages(C#, Go, Scala, Java)
• Experience building backend services, APIs and distributed systems.
• Experience working with large-scale production databases in high-load environments(e.g. ClickHouse, BigQuery, Redshift, Druid, MongoDB, Elasticsearch, DynamoDB)
• Experience designing or maintaining data pipelines or production data workflows.
• Ability to solve production issues involving performance, scalability or data quality.
• Understanding of different data processing architectures (batch, streaming, etc.) and their trade-offs.
• Experience working with public cloud platforms (e.g., AWS, GCP, Azure).
• Strong English communication skills.
• B.Sc. in Computer Science or equivalent.
  
  Nice to Have:
• Experience with workflow orchestration frameworks such as Airflow.
• Familiarity with large-scale production ETL pipelines.
  Prior work with production Go backend services; knowledge of Clojure is a plus.
• Exposure to BigQuery at production scale.
• An “AI mindset”: familiarity with developer productivity tools like GitHub Copilot or Cursor.

Why Us:

• We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).
• We provide full accounting and legal support in all countries we operate.
• We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.
• We offer a highly competitive package with yearly performance and compensation reviews.
  
  The location is Kyiv only.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

You'll be a great fit if you have:
• Strong Python Experience (1 year +);
• Commercial experience with LLM , Diffusion models (1 year +);
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;
• Bachelor's degree in Computer Science or a related field.

What you'll do:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We ensure your growth with:

• Competitive salary fixed in USD;

• Flexible working schedule and fully remote work format;

• Paid vacation days and sick leave days;

• Personal and professional development opportunities;

• Participation in building innovative projects from scratch using modern technologies;

• Team-building activities and corporate events;

• English classes and educational events.

We are the creators of a new fintech era!

Our mission is to change this world by making blockchain accessible to everyone in everyday life. The team in Ukraine is part of the global WhiteBIT team, which unites more than 1,200 professionals worldwide. Each of our employees is fully engaged in creating a new world order in the Web3 era.

We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell,FACEIT and VISA.

Requirements:

• 4+ years of experience as a Business Analyst, Finance Systems Analyst, Accounting Systems Analyst, ERP Business Analyst, Finance Transformation Analyst, or similar.
• Strong understanding of accounting and finance processes.
• Experience with finance/accounting systems or ERP systems.
• Understanding of:

-General Ledger;

-Chart of Accounts;

-Journal entries;

-Accounts Payable;

-Vendor bills;

-Payments;

-Bank reconciliation;

-Month-end close;

-Management reporting;

-Budget vs actuals.

• Experience documenting business requirements, functional specifications, process flows, user stories, and acceptance criteria.
• Experience with system integrations, data mapping, batch imports, APIs, or data migration.
• Understanding of source of truth, reconciliation, audit trail, data ownership, and financial controls.
• Ability to work with Finance, Accounting, Tech, Data, Treasury, Compliance, and external implementation partners.
• Strong analytical, communication, and documentation skills.

Responsibilities:

• Gather, analyze, and document finance and accounting requirements.
• Map current-state and target-state finance processes.
• Translate Finance needs into functional specifications, user stories, and acceptance criteria.
• Support implementation of finance system workflows for GL, Chart of Accounts, journal entries, vendor bills, payments, bank reconciliation, cost centers, budgeting, reporting, and month-end close.
• Work with Tech and Data teams to define finance-related integration requirements.
• Help define source systems, data ownership, required fields, batch logic, source references, error handling, retry logic, and audit trail requirements.
• Support creation and maintenance of:

-Source of Truth Matrix;

-Accounting Event Matrix;

-Integration Data Contract;

-Reconciliation Matrix;

-Reporting Requirements;

-UAT Scenarios;

-Decision Log.

• Define reconciliation requirements for trading fees, PSP settlements, bank statements, fiat flows, crypto balances, network fees, client assets/liabilities, and company own funds.
• Help ensure finance system entries can be traced back to source systems, source batches, reports, or data warehouse references.
• Prepare UAT scenarios and support Finance users during testing.
• Document issues, risks, dependencies, assumptions, and change requests.
• Help protect MVP scope and challenge unclear or overly broad requirements such as “import all transactions into the finance system.”
• Support go-live readiness, cutover preparation, and post-go-live stabilization.

Would be a plus

• Previous accounting or bookkeeping experience.
• Experience in fintech, crypto, payments, banking, brokerage, trading platforms, or PSP integrations.
• Experience with high-volume transactional systems.
• Experience with multi-currency finance.
• Experience with bank and PSP settlement reconciliation.
• Experience with client funds, client liabilities, wallets, custody, or treasury flows.
• Basic SQL knowledge.
• Experience with audit preparation or regulated financial environments.

Working terms

Achieve Big Goals With Us:

• We provide everything you need for success.
• Modern equipment.
• Сomfortable working conditions, and an inspiring environment to help you thrive.

Work-Life Balance Matters:

• 24 сalendar days break for rest.
• Additional days off for national holidays.

Driven by development:

• Access to exclusive crypto education courses.
• Opportunities for external training.

Global Collaboration:

• Work alongside professionals from around the world, exchange experiences, and contribute to unique projects.

Care Beyond Work:

• We provide time and support during life’s most important moments.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!

Let’s Build the Future Together!

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting

What We're Looking For

We are looking for a Senior Marketing Analyst focused on measurement and signal engineering — ensuring Meta, Google Ads, TikTok, and other ad platforms receive accurate, timely, and high-quality conversion signals. You will work closely with Marketing, Product, Data Engineering, and ad platform representatives to improve campaign measurement and optimization.

Main Responsibilities

• Marketing & signal optimization — Partner with Marketing and ad network representatives to improve conversion signals, assess product and ad platform changes, and investigate signal-related performance drops.
• Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery.
• New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing
• Pixel & GTM management — Manage GTM releases across multiple web properties and implement pixels and conversion events for ad networks.
• Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies.
• UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution.
• Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics.

• Marketing datasets — Build and maintain custom marketing datasets

   

Required Skills and Experience

• 3+ years of experience in marketing analytics, digital measurement, ad tech, or tracking
• Advanced SQL (window functions, CTEs, performance-aware querying, data quality checks) and experience working with large data warehouses
• Hands-on experience with Google Tag Manager
• Experience with visualization tools (Tableau, Looker, or similar) — Tableau is our primary BI tool
• Proven experience partnering with performance marketing / UA stakeholders and communicating insights to non-technical audiences
• Understanding of browser-side and server-side tracking
• Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies, and conversion setup
• Solid understanding of marketing metrics
• Understanding of GDPR-compliant tracking approaches

• Ability to communicate effectively in English (written + spoken)

   

Nice to Have

• Understanding of mobile attribution & tracking, including SKAdNetwork (SKAN), and experience with an MMP such as AppsFlyer, Adjust, or similar.
• Experience with incrementality and holdout testing (e.g. Meta Conversion Lift, Google Ads Conversion Lift, geo-experiments) to validate the impact of signal changes on campaign performance
• Experience with Meta Conversions API (CAPI) or Google Data Manager API.
• Experience with LTV modeling and calculations, preferably for subscription-based products.

• Experience with Airflow, dbt, or similar data tools.

   

Candidate journey

⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Meet the Leadership team --> ⭕️ Skills assessment

Locations: Ukraine; Armenia; Bulgaria; Cyprus; Estonia; Hungary; Latvia; Lithuania; Romania

We are looking for a Business Analyst to join our team and work on international eCommerce projects.

You will work closely with clients, product stakeholders, designers, and development teams to understand business needs, translate them into clear requirements, and support the delivery of effective eCommerce solutions.

📍 Requirements
— 2+ years of commercial experience as a Business Analyst in IT
— Experience working with eCommerce projects or products
— Strong experience in requirements gathering, analysis, and documentation
— Ability to translate business needs into clear functional and technical requirements
— Experience creating user stories, use cases, acceptance criteria, and functional specifications
— Understanding of business process analysis and process mapping
— Experience working directly with clients and multiple stakeholders
— Upper-Intermediate or higher English level

✌️ Nice to have
— Experience with eCommerce platforms such as Adobe Commerce / Magento, Shopify, Salesforce Commerce Cloud, or similar
— Experience with pre-sales activities

📌 Responsibilities
— Communicate with clients and stakeholders to identify business needs and project requirements
— Conduct requirements gathering and analysis sessions
— Translate business requirements into clear specifications, user stories, and acceptance criteria
— Analyze and document existing and future business processes
— Collaborate with developers, QA engineers, designers, project managers, and other team members
— Clarify requirements throughout the development lifecycle

At TechBiz Global, we provide recruitment services to top clients across our portfolio. We are currently looking for an experienced AVEVA Developer to join one of our clients’ teams. If you are seeking an exciting opportunity to grow in an innovative industrial environment, this could be the perfect fit for you.
 

Responsibilities

•Development, configuration, and maintenance of applications based on the AVEVA System

Platform (InTouch, Application Server, Historian)

• Creation and further development of HMI visualizations, scripts, and templates

• Integration and configuration of I/O servers, communication drivers (e.g., OPC UA/DA), and

interfaces to higher-level systems (MES/ERP)

• Fault analysis, troubleshooting, and system optimization during ongoing production operation

• Performing software updates, migrations, and system backups

• Documentation of system changes in accordance with internal quality standards

• Close collaboration with Production, Maintenance, and IT

• Support during the commissioning of new plant components

• Taking on Second Level Support for complex faults and escalations

Job requirements

• Experience with AVEVA System Platform / Wonderware
• Knowledge of InTouch and Application Server
• Experience with SQL and VBScript
• Understanding of industrial communication protocols
• PLC programming knowledge is an advantage
• Slovak and English are mandatory
• German is an advantage
• Willingness to work early and late shifts

• Willingness to participate in on-call duty

   

What We Offer

• Competitive salary
• Shift and on-call allowances
• Professional development opportunities
• AVEVA certification support
• Structured onboarding

🌍 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🧩 About the Product:

This is a hyper-scale fintech platform trusted by over 40 million users worldwide, offering access to multi-asset trading - including stocks, indices, currencies, and digital assets.

The product operates as a regulated, data-intensive financial ecosystem, processing massive volumes of transactions and real-time customer interactions daily. It’s well-funded, profitable, and known for pushing innovation in AI, automation, and data governance across its operations. Advertising presence is strong (especially in the UK), but behind the scenes is a serious engineering culture solving hard, real-world problems at scale.

🌟 About the Role:
We are looking for an Applied AI Engineer (Squad Lead) to join a fast-paced, AI-first environment where AI is already a core part of how the company operates. This is not a role where you’ll be adding an AI feature to an existing product or experimenting with isolated prototypes. You’ll take real business challenges, work directly with stakeholders to understand what needs to change, and turn those problems into production-grade AI agents and applications — end to end, from idea and POC to deployment and continuous improvement.

📈 Key Responsibilities:

• Design, build, and deploy AI-powered agents and applications from concept through production.
• Develop and maintain AI pipelines for data ingestion, embeddings, retrieval, and LLM orchestration.
• Write high-quality backend and frontend code to embed AI into user-facing tools and internal platforms.
• Build APIs and integrations with internal systems (CRM, databases, third-party services) for seamless automation and data flow.
• Work with structured, unstructured, and vectorized data to support intelligent workflows and decision-making.
• Continuously monitor, evaluate, and iterate to improve system performance, reliability, and cost efficiency.
• Design and implement scalable, secure, observable, cloud-based solutions.
• Own production systems, including debugging, enhancements, and ongoing optimization.
• Collaborate closely with product and business stakeholders to translate requirements into high-impact solutions.

💻 Required Competence and Skills:

• 5+ years of software engineering experience (backend or full-stack).
• Proven daily use of AI-native development workflows (e.g., Cursor, Claude Code) for production systems.
• Hands-on experience building production AI agents, including RAG, multi-agent orchestration, tool-calling, structured outputs/validation, memory, and workflow management.
• Track record of deploying LLM-powered systems in production.
• Strong backend and modern frontend development skills for complex workflows.
• Experience with cloud services (Azure, AWS, or GCP) and designing scalable architectures.
• Familiarity with vector databases and embedding pipelines.
• Deep understanding of system design, scalability, observability, and security best practices.
• Experience leading small development teams or owning a technical domain.
• Excellent communication, stakeholder management, and problem-solving skills.
• Fluent written and verbal English.

➕ Nice to Have:

• Experience with GenAI frameworks such as LangChain, LangGraph, LangSmith, Semantic Kernel, or equivalent.
• Experience building AI systems in regulated or compliance-driven environments.
• Background working with internal teams and platforms (e.g., customer service, retention, operations, compliance).
• Strong understanding of business process automation and operational intelligence.
• Familiarity with event-driven architectures and distributed systems.
• Experience implementing AI evaluation frameworks and automated testing for LLM systems.

🚀 Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

N-iX  is looking for an experienced Senior Data Scientist with a strong focus on AI Engineering. The role involves designing and delivering production-ready AI solutions for the insurance industry, with a particular emphasis on Agentic AI, LLMs, RAG pipelines, and Computer Vision.

Key Responsibilities:

• Design and develop autonomous AI agent systems for the insurance domain
• Build production-ready AI solutions using:
  • Multi-Agent Systems
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Computer Vision
• Research, evaluate, and implement state-of-the-art AI technologies
• Develop scalable AI products for international markets
• Collaborate with a team of Data Scientists and AI Engineers
• Take AI solutions from architecture and proof of concept through production deployment
• Participate in building proprietary AI models for the insurance industry

Required Skills:

• 5+ years of commercial experience as a Data Scientist / AI Engineer
• Strong Python development skills
• Hands-on experience with:
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
  • RAG architectures
  • AI Agent frameworks
• Experience building production AI systems
• Solid software engineering background
• Experience with data analysis and AI product development
• Degree in Computer Science/Data Science/Mathematics/Physics/Engineering or equivalent technical background
• Upper-intermediate+ English level 
• Strong analytical thinking, proactive mindset
• Ability to design scalable AI solutions
• Ability to explain complex technical concepts
• Independent and structured way of working
• Team player

Nice to Have:

• Experience within the insurance industry
• German or Spanish language skills

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 package is not applicable for freelancers

🚀 Join a fast-growing international iGaming company with 1,000+ professionals and a portfolio of successful projects operating across Tier 1-3 markets worldwide.
 

We're looking for a BI Analyst to build and develop reporting, create interactive dashboards, and help teams make data-driven decisions. You'll work with product and business teams, analyze key metrics, and contribute to the development of a new product.
 

Responsibilities

• Build reports and dashboards in Power BI.
• Develop reporting for new products from scratch.
• Maintain and improve existing reports and dashboards.
• Analyze product performance and identify useful insights.
• Create dashboards using Power BI, Looker, and/or Tableau.
• Work closely with business teams to understand reporting needs.
   

Requirements

• Experience with Power BI.
• Experience building reports and dashboards.
• Experience maintaining and improving reporting solutions.
• Understanding of the iGaming industry.
• Strong analytical and problem-solving skills.
• Ability to explain complex data in a simple way.
• Experience with Looker and/or Tableau.
• Experience with predictive analytics will be a plus.
   

We Offer

• Fully remote work
• Competitive salary package
• Paid vacation and sick leave
• Professional onboarding and continuous support
• Transparent processes and clear business goals
• Career growth opportunities within a rapidly growing international company
• Dynamic, ambitious, and supportive team environment
• Access to internal expertise and knowledge-sharing initiatives
• Continuous professional development and learning opportunities
• Opportunity to directly influence product strategy and business performance
   

Ready to grow your BI career and work with real product data? We'd love to hear from you.

We are looking for a Data Solution Architect to make our team even stronger.

Kindly note that this role supports remote work, but only from within Ukraine.

Responsibilities

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution “go-live”
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

• Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English (B2 level)

We offer/Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program — a free programming language training program for EPAMers’ children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.

ABOUT EPAM

EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM’s success, so we value cooperation, strive to always understand our clients’ business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Data Engineer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

It’s a match if you have:
Hands-on experience with Python for data processing and pipeline development.
Hands-on experience developing and maintaining data pipelines in Airflow.
Experience with cloud platforms (AWS preferred).
Strong SQL skills and experience with NoSQL databases (MongoDB).
Experience with Git for version control and collaborative development workflows.
Experience with CI/CD pipelines for building, testing, and deploying data pipelines and related code.
Ability to work independently, take ownership, and collaborate effectively with analysts and product owners.
Excellent collaboration skills.

Your key responsibilities will include:
Develop and maintain data pipelines orchestrated with Airflow using Python-based DAGs.
Develop and maintain data models in the analytical data warehouse (DWH) to support reporting and business intelligence use cases.
Develop and maintain data validation scripts using Python, SQL, and pandas.
Collaborate with analysts and product owners to deliver well-structured, reliable datasets.

Nice to have:
Experience with DWH Snowflake.
Experience with DataOps, DevOps practices and performance optimization.
Experience with NoSQL databases (preferably MongoDB).

What we offer:

– Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Send over your CV now — we’d love to get to know you better!

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
• 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
   

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

This is an exciting opportunity to work with cutting-edge technologies and make a tangible impact across global industries.

Kindly note that this role supports remote work, but only from within Ukraine.

Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor’s or master’s degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences

We offer/Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

What we offer:

• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program — a free programming language training program for EPAMers’ children

Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview.