Jobs Data & Analytics

We're building a greenfield high-load media platform from scratch, allowing you to shape the architecture, choose the technology stack, and make key engineering decisions from the very beginning. This isn't about maintaining legacy systems—it's about designing and delivering scalable solutions that will evolve from PoC into production

You'll tackle complex engineering challenges around WebRTC, low-latency streaming, SFU/TURN infrastructure, and scaling the platform to 300,000 concurrent connections and 3M+ requests per second. As part of a small, highly skilled team, you'll have real ownership, fast decision-making, and the chance to build rare, highly valued expertise while making a visible impact on the product

In this role, you will

• Design and build the infrastructure for a greenfield streaming/WebRTC platform, ensuring scalability, low latency, and high availability
• Develop and maintain CI/CD pipelines and deployment strategies to support fast and reliable releases
• Manage cloud infrastructure and Kubernetes clusters using Infrastructure as Code tools
• Implement autoscaling, performance optimization, and load testing to ensure the platform can handle high traffic and peak loads
• Build and improve the platform's observability by implementing monitoring, logging, tracing, and alerting solutions
• Optimize infrastructure for performance, reliability, security, and cost efficiency
• Collaborate closely with backend engineers and product teams, contributing to architectural decisions and the evolution of the platform

It’s all about you

• 3+ years of experience as a DevOps Engineer in production environments
• Experience designing and building high-load infrastructure from scratch
• Hands-on experience with streaming, WebRTC, or social/multimedia products
• Production experience with Kubernetes, including scaling, autoscaling, and troubleshooting
• Expertise in Infrastructure as Code using Terraform and/or Ansible
• Experience with AWS or GCP, including compute, networking, and managed services
• Experience building CI/CD pipelines using GitLab CI or GitHub Actions, along with GitOps tools such as ArgoCD and Helm
• Knowledge of observability tools, including Prometheus, Grafana, logging, and distributed tracing
• Strong networking fundamentals, including UDP, RTP/RTCP, low-latency networking, and TURN/STUN (coturn)
• Experience with load testing and performance optimization for high-traffic production systems

Would be a plus

• Experience with media servers, such as mediasoup, LiveKit, Janus, or Jitsi
• Experience optimizing bandwidth-heavy streaming platforms and improving infrastructure cost efficiency
• Proficiency in scripting with Python, Go, or Bash

What we offer

Care and support: 

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• 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
   

Uklon — продуктова IT-компанія, що розробляє провідний райд-хейлінг сервіс. Щодня потужна команда Uklon прокачує одну з найбільших інфраструктур на ринку України та за її межами, забезпечуючи взаємодію драйверів та райдерів.

Ми створюємо highload продукт, за яким ховаються амбітні технологічні челенджі, безперервні інновації та неочевидні ходи. Наш фреймворк роботи — тестувати нові гіпотези, пушити свої ідеї та використовувати останній стек технологій.

Приєднуйся до нас у ролі Digital Growth Lead у Києві 

Hiring process: Знайомство, тестове завдання (ми цінуємо твою роботу та час, тому ТЗ оплачуємо) та технічна зустріч.

Що ми пропонуємо саме для цієї ролі: 

• роботу в одній із найсильніших маркетингових команд країни та можливість створювати гучні інфоприводи пліч-о-пліч з топ-експертами ринку

• занурення в data-driven культуру з мінімумом інтуїтивних рішень, де кожен крок підкріплений аналітикою та реальними цифрами

• можливість впливати на результати багатьох продуктів одночасно, працюючи з різними бізнесами в рамках масштабної екосистеми

• унікальний досвід масштабування та залучення до виходу компанії на нові ринки

• свободу до створення креативних ідей з подальшою реалізацією та всі необхідні ресурси для втілення твоїх проєктів

• річний бонус при виконанні цілей компанії

• занурення в культуру компанії, яка вважає кожного тіммейта значущим і цінним

• регулярний performance & salary review

• працювати в компанії, що входить до міжнародної групи VEON, представленої у сферах телекомунікацій, фінтеху, мобайлу, стримінгу, healthcare тощо

Як саме ти можеш впливати на розвиток компанії: 

• забезпечувати стратегічне партнерство з бізнес-юнітами, транслювати бізнес-завдання у тактичні рішення, регулярно звітувати та управляти очікуваннями стейкхолдерів

• будувати та оптимізувати процеси взаємодії, налагоджуючи зрозумілий маршрут завдань між бізнес-юнітами, командою Digital Growth та Digital Execution для прискорення запусків

• здійснювати стратегічне та тактичне управління діджитал-воронкою для досягнення цільових метрик (розробка оферів, контроль показників, координація створення креативів)

• управляти командою Digital Growth, ефективно розподіляти пул задач, контролювати якість їх виконання, займатись менторством та професійним розвитком спеціалістів

• впроваджувати системний процес генерування та перевірки нових гіпотез, тестувати нові діджитал-канали, підходи та механіки для пошуку точок росту залучення

Челенджі на 3 місяці: 

• онбординг у бізнес-контекст компанії, проведення установчих зустрічей із керівниками напрямків для розуміння їхніх цілей, специфіки продуктів та юніт-економіки

• проведення аудиту поточних діджитал-воронок за кожним напрямком для виявлення «вузьких місць» та швидких точок росту

• перейняття на себе регулярної звітності перед стейкхолдерами та управління їхніми очікуваннями

• розробка та затвердження єдиного стандарту брифу (ТЗ) на запуск та оптимізацію рекламних кампаній

• узгодження базового SLA з Digital Execution Lead для налагодження безперебійної взаємодії між командами

• реалізація перших запусків кампаній за оновленим, стандартизованим процесом

• проведення аудиту внутрішніх процесів підрозділу, оцінка поточного навантаження і компетенцій команди та перерозподіл зон відповідальності між фахівцями

Для досягнення результатів, тобі знадобляться: 

• впевнене володіння аналітичним інструментарієм, включаючи Google Analytics 4, Firebase та системи мобільної атрибуції (AppsFlyer або Adjust)

• просунутий рівень роботи з даними в Excel / Google Sheets (зведені таблиці, складні формули, масиви) для глибокої аналітики та звітності
• досвід управління командою: вміння мотивувати, менторити, розвивати спеціалістів та ефективно розподіляти робоче навантаження

• розуміння технічної складової MarTech & Tracking (принципи роботи пікселів, GTM, postbacks, інтеграції SDK та передачі подій) та здатність розмовляти однією мовою з розробниками

• глибоке розуміння алгоритмів та можливостей рекламних платформ (Google Ads, Meta, Apple Search Ads, SEO)

• навички побудови та оптимізації процесів, вміння систематизувати крос-функціональну роботу та прописувати чіткі правила взаємодії (SLA)

• високий рівень комунікації та стейкхолдер-менеджменту: вміння говорити мовою бізнесу, аргументувати рішення, презентувати результати та керувати очікуваннями

• розвинене Growth-мислення: системна робота з гіпотезами, проведення A/B тестувань та глибоке знання маркетингової математики (CPA, CAC, LTV, ROMI)

• English - B1+

Як ти регулюєш свій робочий час?

• гнучкий графік з урахуванням функціоналу

• days off зі збереженням винагороди: 20 на особисті потреби, ще 1 з нагоди дня народження, 10 через хворобу, до 8-ми за донацію крові 

Як ти будеш прокачувати свої скіли в Uklon?

• внутрішній обмін знаннями, програми менторства та тренінги з розвитку soft та hard skills

• отримання профільних сертифікацій для IT-експертів

• корпоративна бібліотека та підписки на інформаційні ресурси

• персональний/командний бюджет на навчання

• корпоративні знижки та компенсація English lessons 

• long-term навчання для керівників

Care and support

• медичне страхування в Україні 

• оплачувані сесії з психотерапевтами Pleso

• гейміфікації, подарунки, розіграші та знижки від партнерів

• спортивні заходи та корпоративні тімбілдінги

• wellness programs (воркшопи емоційної підтримки)

• тижні масажу в офісі в Києві

• промокоди на поїздки з Uklon

•regular Sport Activities:

• корпоративні знижки, часткова компенсація занять спортом

Corporate social responsibility

Uklon соціально відповідальний бізнес і входить в ТОП-10 найбільших донаторів на підтримку сил оборони та гуманітарні ініціативи серед українського бізнесу в секторі ІТ та телекомунікацій. 

З початку повномасштабного вторгнення сума фінансових внесків компанії та її засновників на підтримку Сил оборони, соціальні ініціативи та благодійні проєкти склала понад 339 мільйонів гривень.

Перед поданням заявки на відкриту позицію в Uklon, будь ласка, ознайомтеся з Умовами обробки та захисту персональних даних кандидатів. Надсилаючи нам свої персональні дані, зокрема ті, що містяться у вашому резюме, ви даєте згоду на обробку персональних даних відповідно до цих Умов.

*Ми цінуємо кожен відгук і прагнемо надати зворотний зв’язок протягом 7 робочих днів. Якщо відповіді не було - не засмучуйся: просто цього разу метч із вакансією не відбувся.

Якщо не бачиш листа від нас - перевір, будь ласка, папку «Спам» чи інші вкладки пошти. Іноді наші відповіді потрапляють туди. Дякуємо, що обираєш Uklon. До зустрічі!

The Fourth Law is a leading Ukrainian manufacturer of autonomy technologies for drones. Our solutions are codified according to NATO standards and are currently utilized by over 50 units of the Security and Defense Forces of Ukraine, as well as 20+ drone manufacturers.

Our products are named after prominent Ukrainian figures of the “Executed Renaissance” and the “Sixtiers” movement—Vasyl Stus, Olena Teliha, Mykola Zerov, and Anatoliy Lupynos.

In 2026, the company was recognized by DOU as the most promising project in the defense tech sector.

Purpose of the Role: Develop and implement intelligent models to solve real-world business challenges. You will transform theoretical algorithms into functional tools that enhance our product

Key Responsibilities:

• Design, implement, and optimize machine learning models and algorithms;
• Collaborate with data scientists, software engineers, and product teams to deploy ML solutions;
• Conduct data preprocessing, feature engineering, and model evaluation;
• Monitor and maintain the performance of deployed ML models in production;
• Document model development, experiments, and results clearly and consistently;
• Stay up-to-date with the latest advancements in machine learning and AI technologies.

Experience and skills we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• 3+ years of experience in machine learning, data science, or related fields;
• Strong programming skills in Python, R, or similar languages;
• Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn;
• Experience with model training, evaluation, and optimization for real-world applications;
• Solid understanding of machine learning algorithms, data structures, and statistical methods;
• Ability to work independently, manage multiple tasks, and collaborate with cross-functional teams.

Why Choose US?

• Work that has a real impact. We build products that directly strengthen Ukraine’s defense capabilities.
• Opportunity to work alongside top-tier engineers in MilTech and autonomous systems.
• Official employment under the Diia.City legal framework.
• The possibility of reservation (deferment) for conscripts in accordance with the requirements of current legislation.
• Annual paid leave — 24 calendar days.
• Additional paid leave for veterans — 14 calendar days.
• Paid sick leave in accordance with the law.
• Possibility of reimbursement for training costs according to internal company policies.

We are not just looking for employees, but for like-minded individuals who share our values and are ready to build the future of Ukrainian MilTech.

N-iX is looking for a Middle Data Engineer to help build and operate a new AWS-based data lakehouse for our customer in the e-commerce domain. The ideal candidate has hands-on experience with AWS data services, modern data pipelines, and lakehouse architectures.

Our Client is a global full-service e-commerce and subscription billing platform on a mission to simplify software sales everywhere. For nearly two decades, we’ve helped SaaS, digital goods, and subscription-based businesses grow by managing payments, global tax compliance, fraud prevention, and recurring revenue at scale. Our flexible, cloud-based platform combined with consultative services helps clients accelerate growth, reach new markets, and build long-term customer relationships.

Data is at the heart of everything the client does—powering insights, driving innovation, and shaping business decisions. The client is building a next-generation data platform and is looking for a Middle Data Engineer to contribute to its development.

Role Overview:

As a Middle Data Engineer, you will contribute to building and operating a scalable and cost-efficient AWS data lakehouse. You will work closely with data engineers, DevOps engineers, architects, and product leads to implement reliable data pipelines, data models, and data products that support business decision-making.

Your Responsibilities:

• Develop and maintain scalable data pipelines using S3, Apache Iceberg, Glue Data Catalog, EMR, Airflow (MWAA), Python, and PySpark.
• Work with data across medallion layers, from source ingestion to reusable business entities, dimensional models, and analytics-ready datasets.
• Integrate data from various source systems, including databases, APIs, business applications, and file-based sources.
• Implement data transformations and contribute to building end-to-end data products, including scheduled data deliveries and serverless workloads using services such as AWS Lambda and S3.
• Apply automated testing and data quality practices across data pipelines and contribute to metadata management, cataloguing, lineage, and documentation using DataHub and AWS services.
• Prepare and make curated data available in Snowflake for analytics, reporting, and SQL-based use cases.
• Collaborate with architects, DevOps engineers, product owners, engineering managers, and Power BI engineers on solution implementation, CI/CD, and Terraform-based infrastructure.
• Monitor data pipelines and production workflows, investigate issues, improve performance and reliability, and maintain technical documentation and runbooks.

What We’re Looking For:

• 3+ years of experience in data engineering, ideally with AWS, lakehouse, or hybrid data platforms.
• Strong Python, PySpark, and SQL skills, with experience developing production data pipelines and data transformations.
• Practical experience with Airflow and AWS data services, including S3, Apache Iceberg, Glue Data Catalog, Glue Data Quality, Athena, and EMR.
• Good understanding of data modelling and harmonisation, including dimensional modelling, SCD Type 1 and 2, schema evolution, and working with data from multiple source systems.
• Experience integrating data from databases, APIs, business applications, and file-based sources.
• Understanding of data governance concepts, including metadata management, cataloguing, lineage, and documentation. Experience with DataHub is a plus.
• Familiarity with Snowflake, BI platforms, semantic layers, and SQL- or dbt-based transformation approaches.
• Experience with Git, GitLab CI/CD, automated testing, and Infrastructure as Code. Terraform experience is a plus.
• Good problem-solving and troubleshooting skills, with a proactive approach to learning and taking ownership of assigned tasks.
• Good communication and documentation skills.
• Upper-Intermediate English or higher to collaborate effectively with English-speaking stakeholders on the client side.

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

Role Summary

The Inventory & Demand Planning team is hiring a Data Analyst to scale a high-impact analytics roadmap across inventory, in-stock, supply, and forecasting. This role builds and maintains the data foundation that powers decision-making by translating business rules into reliable datasets, automating recurring KPI outputs, and supporting the ABC/XYZ + lifecycle governance framework so leaders and merchants operate from consistent, auditable numbers with minimal manual effort.

This is a hands-on analytics engineering role centered on data pipelines, automation, and metric integrity to enable planning decisions and streamline reporting/governance outputs. The analyst will partner closely with Inventory Planning leadership to implement definitions, validations, and scalable reporting.

What You’ll Work On

· Build and maintain curated BigQuery tables/views that standardize inventory, demand, availability, open POs/in-transit, backorders, and KPI feeds.

· Write clean, performant SQL that powers weekly/monthly reporting and executive dashboards.

· Automate refreshes and reduce manual effort through validations, reconciliations, exception flags, and clear documentation.

· Support ABC/XYZ roadmap execution by producing required inputs/outputs, applying multiplier logic, and keeping the classification pipeline stable and easy to audit.

· Support forecasting improvements using Python (data prep, feature engineering, back-testing, evaluation) and help operationalize outputs into cadence reporting.

· Expand datasets with additional signals where available (promo flags/types, merchandising tags, launch/NPA indicators, traffic/CVR signals, marketing calendar attributes).

· Partner with Merchandising, Marketing Ops, Finance, and BI/IT to align definitions, improve data quality, and drive adoption of standardized metrics.

How Success Will Be Measured

· KPI tables and dashboard feeds refresh reliably with minimal manual intervention.

· Faster turnaround on leadership and merchant requests with consistent, traceable metric logic.

· ABC/XYZ outputs are accurate, on-time, and easy to maintain.

· Forecast inputs improve through better data structure and added business/marketing signals.

· Documentation and change control keep datasets stable as business rules evolve.

Required Qualifications

· 3–5 years in analytics/data roles (retail/e-commerce strongly preferred).

· Strong SQL and hands-on experience with BigQuery (or similar cloud warehouse).

· Working Python proficiency for analysis/automation (pandas/NumPy).

· Experience supporting BI dashboards and recurring reporting.

· Demonstrated ability to validate and reconcile metrics across sources, troubleshoot discrepancies, and document logic clearly.

· Strong problem-solving, attention to detail, and clear communication with business stakeholders.

Preferred Qualifications

· Familiarity with ML/forecasting workflows (feature engineering, evaluation, operationalizing outputs) to support forecasting and driver-based models in partnership with the team.

· Familiarity with Looker/LookML (or similar semantic layers).

· Exposure to dbt and/or orchestration tools (Airflow/Composer or equivalents).

· Comfort with inventory/planning concepts (WOS, aging, availability, lost demand, backorders) and classification/ranking approaches (ABC/XYZ, PFEP).

· Version control (Git) and basic engineering hygiene (testing, documentation, change logs).

Tools / Environment

BigQuery, SQL, Python, Looker, Jira/Confluence (or equivalent), Google Cloud tooling as applicable.

We are looking for a Middle/Senior Data Scientist to join the Data Science team of a leading financial institution in Ukraine.
 

We are open to considering candidates at the Middle to Senior level, depending on their experience and expertise.
 

The team works with large-scale datasets and develops intelligent solutions using both classical Machine Learning and modern Deep Learning approaches. We are looking for a motivated professional who is passionate about data, technology, and solving complex business problems.
 

In this role, you will be responsible for data analysis, ML model development, and production implementation, taking solutions from research and experimentation through to production.
 

Why Join the Team:

• Large-Scale Data: Work with massive datasets and challenging real-world business problems.
• Modern Technologies: Use both classical Machine Learning and Deep Learning approaches.
• End-to-End Ownership: Take models from initial research and experimentation to production.
• Business Impact: Develop ML solutions that directly support important business decisions and services.
• Professional Environment: Work alongside experienced specialists in a dynamic and collaborative team.
   

Key Responsibilities:

• End-to-End ML Development: Design, train, and deploy ML/DL models, from research and experimentation to production.
• Classical ML: Work with tabular data, perform EDA, develop features, and build classification and regression models.
• Deep Learning: Develop models for text, image, and audio data based on business needs.
• MLOps: Containerize models using Docker, set up model quality monitoring, and integrate solutions via APIs (FastAPI/Flask).
• Documentation & Communication: Maintain technical documentation and present model results, metrics, and business impact to stakeholders.
   

Key Requirements:

• Experience: 1+ year of commercial experience as a Data Scientist/ML Engineer, including taking solutions from research to production.
• Data & SQL: Advanced SQL skills, including complex queries and analytical/window functions.
• Engineering & Cloud: Experience with Git, CI/CD, Docker, and cloud platforms such as AWS or GCP.
• Machine Learning: Experience with recommendation systems, segmentation problems, and forecasting models.
• ML Stack: Strong knowledge of Python, Pandas, Scikit-learn, and XGBoost/LightGBM.
• Mathematics & Statistics: Solid understanding of statistics, probability theory, ML algorithms, and the principles behind how algorithms work.
• Collaboration: Ability to work independently and effectively with team members from different professional backgrounds.
• Documentation: Ability to create and maintain documentation for developed models and processes.
   

Nice to Have:

• Deep Learning: Strong proficiency with PyTorch or TensorFlow/Keras.
• Experience building dashboards and meaningful visualizations using BI tools.
• Experience with Generative AI and NLP.
• Experience with Computer Vision.
• Experience with advanced Deep Learning architectures.
   

What We Offer:

• Opportunity to work with a leading financial institution in Ukraine.
• Official employment and 24+4 calendar days of vacation.
• Competitive salary.
• Medical insurance and corporate mobile communication.
• Corporate training and professional development opportunities.
• Modern and comfortable working environment.
• Interesting projects, ambitious challenges, and opportunities for professional growth.
• Friendly and highly professional team.
• Remote work opportunities.

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:

Our client operates a cloud-based platform dedicated to corporate ground transportation management, addressing a multi-billion-dollar market. The solution aggregates multiple transportation providers—such as corporate fleets, ride-hailing services, taxi operators, and limousine networks—into a unified system that helps businesses streamline operations and reduce spend. It serves a significant share of the largest companies worldwide and handles high volumes of transactions and data across diverse geographies. The platform’s core challenges include integrating heterogeneous external services, maintaining reliability under high-load conditions, implementing advanced business logic for scheduling and pooling, and providing accurate cost control and reporting. Strong backend engineering is critical to scaling global coverage, ensuring performance, and delivering a seamless user experience.

About the Role:

You will join a cross-functional development team responsible for core backend services that directly impact end users. The role offers full ownership of feature delivery—from reviewing product requirements and defining technical designs alongside architects and product managers, through to coding, testing, deployment, and monitoring in production. You will serve as first-line support for your services, proactively identify and address reliability and performance issues, and collaborate with other teams to ensure end-to-end system integrity. This position demands technical leadership, a hands-on approach to system architecture, and the ability to influence both engineering and product decisions. You will work remotely with periodic team gatherings and receive the tools and environment needed to deliver tangible business impact in a fast-paced, agile setting.

Key Responsibilities:

• Lead end-to-end development of backend microservices, including design, implementation, deployment, and production monitoring.
• Translate product requirements into scalable technical designs, data models, and RESTful APIs.
• Integrate with external transportation providers and internal systems to enable reliable, real-time workflows.
• Analyze and optimize system performance and database queries under high-load scenarios.
• Propose and implement architectural improvements to enhance resilience, scalability, and maintainability.
• Maintain and refactor existing services to improve code quality, test coverage, and observability.
• Collaborate with cross-functional teams and mentor peers on best practices in coding, testing, and operations.
• Participate in agile ceremonies, including backlog grooming and sprint planning, to align deliverables with business priorities.

Required Competence and Skills:

• 5+ years of backend software development experience in Ruby.
• Proven experience designing and implementing data-driven applications using relational databases (e.g., PostgreSQL) and NoSQL stores (e.g., Redis).
• Solid understanding of RESTful API design principles and the HTTP protocol.
• Hands-on experience with Agile/Scrum methodologies and iterative delivery.
• Proficiency in writing unit tests and applying automated testing practices.
• Strong English communication skills, both verbal and written.
• Ability to understand complex business domains and translate needs into optimal technical solutions.
• Deep understanding of system architecture, high-load applications, and concurrency principles.

Nice to Have:

• Experience developing in Golang;
• Expertise in performance tuning of relational databases.
• Familiarity with gRPC and Protocol Buffers.
• Prior work on high-load, distributed systems.
• Background in building concurrent applications.

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.

Key Responsibilities:

• Analyse and formalise requests from business and stakeholders; conduct sessions to clarify problems, goals, and context;
• Identify and decompose problems; apply techniques for information gathering and structuring (interviews, document analysis, observation, data analysis);
• Prepare and refine business and functional requirements;
• Create User Stories and Acceptance Criteria for tasks in Jira/YouTrack;
• Support the Product Owner in analysing, clarifying, and preparing requirements, as well as in managing priorities and task planning;
• Prepare and maintain up-to-date documentation in Confluence;Work with context — understand dependencies between tasks, systems, and teams;
• Participate in roadmap preparation and ensure consistency of product development plans;
• Verify the requirement implementation accuracy together with QA;
• Participate in daily stand-ups, planning sessions, and retrospectives;
• Use basic prototyping tools (e.g., Marvel, Figma, Miro) to clarify user flows and logic;
• Review final designs required for task definition;
• Collaborate with the development team to clarify implementation details;Keep the backlog and task statuses up to date.

Core Skills:

• Strong communication skills and the ability to solve problems diplomatically and build constructive team relationships;
• Understanding of SDLC, Agile, and Waterfall principles;
• Ability to formulate clear, testable requirements and Acceptance Criteria;
• Solid understanding of frontend technologies (HTML, CSS) and client-server interaction principles;
• Basic experience working with design systems and understanding how to use them to refine requirements;
• Proficiency with Jira, YouTrack, Confluence, or similar tools;
• Systemic thinking and the ability to see relationships between requirements and product goals;
• Attention to detail and strong analytical, structured thinking.
   

Additional Skills:

• Experience in fintech or trading systems will be a strong advantage (but not mandatory);
• 1–2 years of experience in IT projects (as a Business Analyst, Product Owner Assistant, or QA);
• Understanding of web platform and API principles;
• Ability to create simple diagrams (BPMN, Flowcharts, User Flows);
• Experience collaborating with QA teams.
   

Language Requirements:

• Intermediate English level for working with technical documentation and team communication.

We offer:

• An interesting project and non-trivial tasks that will allow us to show our professional attitude and creativity;
• Friendly team;
• Comfortable working schedule and working conditions;
• Opportunity to work remotely as well as in an office located in the city centre;
• Stable, competitive salary;
• Paid vacation and sick leaves;
• Opportunity for professional growth and career development;
• English, paid professional courses, coffee/fruits and other pluses :)

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 a Strong Middle Data Scientist to play a key role in reshaping the way we provide our solutions.

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

• Analyze retail data to find patterns and derive insights for data-aware pricing strategies.
• Maintain, tune and improve existing models, investigate model performance issues and identify their root causes.
• Design and validate (proof-of-concept) POC for new modeling approaches, challenging existing assumptions when needed.
• Own complex SnD Data science solution implementation for new clients end-to-end: validate business requirements and data, map requirements to existing tools and functionalities, develop and evaluate models and bring the solution into production.
• Research, prototype and evaluate modelling approaches for new domains and challenging cases such as sparse demand, promotions and changing sales patterns.
• Collaborate with Data Scientists, Engineers, Product/Project Managers and domain experts to improve and bring to production new approaches of demand modeling.

You have:

• 3+ years of commercial experience in Data Science/Machine Learning or related field.
• Solid mathematical background preferably in Computer Science, Mathematics, Statistics or another quantitative field.
• Strong knowledge of statistics, classical machine learning, deep learning methods and commonly used forecasting approaches.
• Practical experience with time series forecasting methodologies.
• Proficiency in scientific Python toolkit including NumPy, pandas, scikit-learn, gradient-boosting frameworks such as CatBoost/LightGBM and either Keras/TensorFlow or PyTorch.
• Experience with statistical hypothesis testing and experimental design, including A/B testing.
• Advanced SQL skills for data manipulation and extraction.
• Strong Python skills and experience writing clean, modular, maintainable code for prototyping and performing experiments.
• English sufficient for technical discussions, documentation, and collaboration in international environment (Upper-intermediate and higher level).

Desirable requirements:

• Experience in retail, e-commerce, pricing, revenue management or marketplaces.
• Experience working with large datasets and distributed processing tools such as. Pyspark/Spark/Databricks.

​Soft skills:

• Analytical mindset and critical thinking to solve complex problems.
• Strong ownership: you take responsibility for problems end-to-end, proactively drive them forward and stay accountable for the quality and impact of the final solution
• Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
• Business-oriented thinking, capable of translating complex models into clear business insights.
• Curiosity and a drive for continuous learning in the data domain.
• Strong team player, able to collaborate across cross-functional teams.

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.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.

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 started.

What We're Looking For

As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You’ll Meet:

• Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.
• Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.
• Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.
• Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.
• Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
• Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.
• Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.
• Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

Required skills:

• 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.
• 2-3+ years of experience working with AWS services (Administration of Redshift is a must),
• Solid experience working with AWS services (Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).
• Proficient in Python and SQL for data transformation and automation.
• Experience with dbt for data modeling and transformation.
• Good understanding of streaming architectures and micro-batching for real-time data needs.
• Experience with CI/CD pipelines for data workflows (preferably GitLab CI).
• Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).
• Excellent communication and collaboration skills.
  Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.
• A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With:

• Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
• Languages: Python, SQL
• Orchestration: Airflow (MWAA)
• Modeling: dbt
• CI/CD: GitLab CI (including GitLab administration)
• Monitoring: Datadog, Grafana, Graylog
• Event validation process: Iglu schema registry
• APIs & Integrations: REST, OAuth, webhook ingestion
• Infra-as-code (optional): Terraform

Bonus Points / Nice to Have:

• Experience with additional AWS services: EMR, EKS, Athena, EC2.
• Hands-on knowledge of alternative data warehouses like Snowflake or others.
• Experience with PySpark for big data processing.
• Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).
• Interest in or exposure to customer data platforms (CDPs) and real-time data workflows.

Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

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

AI Automation Engineer

On-site in Kyiv.

This is NOT a remote position.

We’re looking for an experienced AI Automation Engineer to join our investor-backed enterprise startup and build production-grade AI-powered automation systems.

The role is focused on designing and building end-to-end automated workflows that combine AI/LLMs, data pipelines, scraping, APIs, matching systems, and third-party integrations. You’ll turn manual data collection and operational processes into reliable, scalable automation, primarily across marketing.

Requirements

• 3+ years of relevant engineering experience
• Proven experience building automation systems.
• Python — scraping, APIs, ETL, async workflows
• Experience integrating AI / LLMs into automated workflows
• Workflow automation tools such as n8n or similar
• Playwright / Scrapy
• PostgreSQL
• OpenSearch / vector search
• APIs, webhooks, and third-party integrations
• Experience connecting multiple systems into end-to-end automated pipelines

Nice to Have (Not Required)

• AI agents / agentic workflow experience
• AWS / GCP
• Docker
• Data enrichment experience
• Outreach / marketing automation systems

Languages

• English — conversational
• Ukrainian — conversational

Offer

• Up to $3,500 + delivery bonuses
• Long-term growth opportunity
• Chef-prepared lunches, snacks bar, and unlimited refreshments daily
• New modern high-tech office in Kyiv
• Work alongside experienced ex-founders and senior developers with backgrounds at Apple and Samsung

AI Engineer (Automations)

On-site in Kyiv.

This is not a remote position.

We’re looking for an experienced AI Engineer (Automation) to join our investor-backed enterprise startup and build production-grade automation systems, primarily supporting marketing and growth operations.

You’ll work on data collection, AI-powered processing, workflow automation, data matching, and third-party integrations to build reliable marketing automation system that operate at scale.

Requirements

• 3+ years of relevant experience
• Proven experience building production automation systems
• Python — scraping, APIs, ETL, async workflows
• Playwright / Scrapy 
• PostgreSQL
• Workflow automation tools knowledge (n8n and others alike)
• AI / LLM integrations
• OpenSearch / vector search
• APIs, webhooks, and third-party integrations

Nice to Have (not must)

• AWS / GCP
• Docker
• Data enrichment experience
• Outreach system experience
   

Languages

• English — conversational
• Ukrainian — conversational

Offer

• Up to $3,500 + delivery bonuses
• Long-term growth opportunity
• Included Chef-prepared lunches, snacks bar and unlimited refreshments daily
• New modern high tech office in Kyiv
• Work alongside experienced ex-founders and senior developers with backgrounds at Apple and Samsung

Job Description

• Expert knowledge as an Oracle DBA, qualification according to Oracle Database Administration 2019 Certified Professional or comparable, current project experience > 5 years
• Very good knowledge of setting up RACs (on ODA) as well as monitoring and optimizing applications that run on the RAC, experience > 5 years
• Very good knowledge of the administration and configuration of Oracle Database Appliances in the HA variant (ODA X8-HA, ODA X7-HA or ODA X5-HA), current project experience > 3 years
• Good knowledge of Oracle Dataguard, experience > 2 years
• Advanced Linux knowledge (shell, file management, processes and devices, resource monitoring, networks)

Optional requirements:

• Good knowledge of installing and configuring Oracle Enterprise Manager
• Good knowledge of database monitoring with Icinga 2 or Nagios
• Good knowledge of setting up and running RACs in VMs
   

Job Responsibilities

• This profile focuses entirely on the data tier, the physical infrastructure, and the health of the Oracle Database running on your Exadata server.
  Core Responsibilities:  
• Managing database storage, performance tuning (indexing, execution plans), and Exadata-specific features (Smart Scans, Hybrid Columnar Compression).
• Ensuring data security, user access control at the schema level, and data encryption.
• Handling backup, recovery, patching, and high availability (Oracle RAC/Data Guard).
  Scope in your stack: 
• They control the Exadata container/pluggable databases (CDBs/PDBs) where your APEX applications and the OAS
• Repository Creation Utility (RCU) schemas live.

Department/Project Description

Client is company based in US, provides solutions and common infrastructure to enable telecommunications partners to deploy and expand next-generation technologies

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 a hands-on Leader who can bridge the gap between advanced research and real-world product delivery. You will be the technical anchor for two streams: S&D (Service & Delivery), ensuring our clients get robust, profitable pricing recommendations, and R&D (Research & Development), guiding the strategy for next-gen algorithms.

What you will do

• Have clear vision and own the strategy of Data Science in the organization.
• Shape the technical roadmap based on business needs, team capacity, and long-term strategy.
• Gradually scale data science function with company growth. 
• Define the hiring profile, lead and mentor a cross-functional team of Data Scientists, and cultivate a high-performing R&D culture focused on scientific rigor and measurable business impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads.
• Act as the main bridge between R&D and S&D: translate business requirements into research tasks, and help the team adapt complex prototypes into stable, production-ready solutions.
• Architect client solutions by selecting the right models and assortment strategies to solve specific business problems using our existing stack.
• Serve as the quality gatekeeper for the team, conducting code reviews, verifying A/B test designs, and ensuring the team hits their Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and the overall quality of price recommendations.
• Communicate clearly with product managers, engineers, and occasionally clients to explain DS trade-offs, present results, and align on next steps.
• Confidently represent the company's technological expertise to investors and partners. You will clearly articulate the Data Science strategy, the core algorithms' defensibility, and the technical roadmap during high-stakes due diligence processes.
• Engage directly with customers' Data Science and Analytics teams (including PhD-level experts). You must be able to confidently explain our methodology, model assumptions, performance results, and address their most technical questions, serving as a critical differentiator during sales and pilot phases.
• Present complex model results, performance metrics, and strategic trade-offs to key stakeholders in a clear, concise, and business-focused manner.
• Support the sales and pre-sales process by building compelling technical narratives that demonstrate our value proposition and deep expertise in the pricing domain.
• Stay hands-on: dive into code and architecture when needed - whether it's designing a new experiment, fixing a critical issue in the delivery pipeline, or prototyping a new idea.

What you have

• 5+ years of experience in Data Science or a related field with a focus on delivering value to production.
• Strong Python and SQL skills, capable of writing modular and readable code for experiments and prototypes.
• Familiarity Databricks data platform and Apache Spark.
• General familiarity with Data Mesh approach and ability to leverage its best practices in collaboration with data engineers.
• Solid mathematical background, preferably in a Computer Science-related field.
• Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
• Deep understanding of statistical testing methodologies, specifically A/B testing design.
• Familiarity with Time Series Forecasting approaches.
• At least 3 years of experience working with tabular and mixed (multimodal) data.
• Expertise in Causal Inference and background in Ecommerce/Retail are strong pluses.
• Upper-intermediate or higher level of English and strong public speaking skills.

Soft skills 

• You care not only about how the model works mathematically but what value it brings to the user and the business.
• Able to translate complex technical concepts into simple business language for stakeholders.
• Able to professionally and clearly communicate with PhD scientists on customer side during the sales process, pilot and rollout.
• Able to own data requirements and build efficient processes to support integration and data engineering with outlining data integration and validation requirements.
• Ready to experiment, pivot, and make data-driven decisions in a dynamic business environment.
• Proactively contribute ideas to the Product Backlog with ideas based on technical knowledge and capabilities.
• Be able to think outside of the box and find simple and elegant solutions to complex problems, including technical, product and processes-related ones.
• Curiosity and a drive to continuously learn within the domain.
• Have a truly entrepreneurial mindset.

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.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

We are looking for an AI Business Analyst to join our CEE IT Digital Solutions team and help shape AI-based solutions that deliver business value. 

You will work closely with business stakeholders, developers, solution architects, project managers, security teams, and other stakeholders to identify opportunities, gather and manage requirements, assess solution feasibility and support the successful delivery of solutions built primarily on the Microsoft Power Platform and Azure ecosystem. 

The role focuses on understanding business challenges, identifying where AI can provide value, translating business needs into clear requirements, ensuring solutions meet stakeholder expectations throughout the delivery lifecycle. 

This role is suited for someone who combines strong business analysis skills with an interest in AI technologies and enjoys working at the intersection of business and technology. 

What You Will Do:

• Gather, analyze, clarify, and manage business requirements for business applications, automation initiatives, and AI-based solutions. 
• Identify, assess, and prioritize process improvement, automation, and AI opportunities. 
• Analyze current-state and future-state business processes using process maps, process diagrams, and other business analysis techniques. 
• Leverage AI tools and rapid prototyping approaches to validate ideas, demonstrate concepts, and support requirement discovery and solution shaping. 
• Prepare and maintain Solution Design Documents and ensure stakeholder review and sign-off. 
• Define and maintain business requirements, business rules, prompts, and Human-in-the-Loop requirements for AI solutions. 
• Work closely with developers and solution architects throughout the project lifecycle to clarify requirements and support implementation activities. 
• Define and align business acceptance criteria, success measures, and expected outcomes. 
• Coordinate User Acceptance Testing activities, collect feedback, and support requirement refinements. 
• Support compliance, governance, and Responsible AI activities by ensuring business requirements and stakeholder expectations are properly captured and communicated. 
• Support solution adoption, change management, user onboarding, and post go-live continuous improvement. 
• Contribute to best practices, templates, standards, and knowledge-sharing activities across the team. 

What We Are Looking For:

• 4+ years of experience in business analysis, process improvement, requirements management, automation projects, or related roles. 
• Experience gathering, documenting, and managing business and functional requirements. 
• Experience documenting business processes, solution requirements, process diagrams, use cases, and preparing Solution Design Documents. 
• Ability to create quick proof-of-concepts and prototypes using AI-powered and low-code tools to accelerate requirement discovery and solution design 
• Strong analytical and problem-solving skills. 
• Ability to assess business value, expected benefits, risks, and implementation considerations for proposed solutions. 
• Good understanding of Generative AI, intelligent automation, and modern digital technologies. 
• Understanding AI concepts such as AI agents, prompts, Human-in-the-Loop workflows, and Generative AI use cases. 
• Strong prompt engineering skills and ability to effectively interact with AI tools to improve analysis, documentation, requirements gathering, and solution discovery. 
• Strong understanding of AI-assisted productivity and business workflows, including the effective use of tools such as M365 Copilot, ChatGPT, and similar AI assistants. 
• Experience using AI tools to accelerate business analysis activities, process documentation, research, content creation, and stakeholder communication. 
• Experience working with structured and unstructured data, including data quality assessment, data cleansing, and analysis activities. 
• Ability to assess data sources, data quality, and information readiness for automation and AI use cases. 
• Ability to identify business processes and scenarios suitable for AI, automation, or traditional technology solutions and recommend the most appropriate approach. 
• Ability to translate business requirements into clear and actionable requirements for technical teams. 
• Experience coordinating User Acceptance Testing activities and business sign-off processes. 
• Understanding change management, user adoption, and stakeholder engagement practices. 
• Familiarity with Agile delivery methodologies and project delivery lifecycles. 
• Strong written and verbal communication skills. 
• Fluent spoken and written English. 

Nice To Have:

• Familiarity with Microsoft Foundry, Microsoft Copilot Studio, or other AI platforms. 
• Understanding of Generative AI concepts such as RAG, vector search, and knowledge grounding. 
• Experience working on AI or digital transformation projects. 
• Basic understanding of Azure services and cloud technologies. 
• Familiarity with Responsible AI principles and AI governance concepts. 
• Experience working in consulting or professional services environments. 
• Experience with process modelling tools such as Visio, Lucidchart, or similar solutions. 

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