Technical Product Owner (TPO) / Data Engineer

We are looking for a Technical Product Owner / Data Engineer who will take ownership of requirements management for complex data systems and serve as a bridge between business and the development team to build efficient data processing workflows.

Requirements

• 2+ years of experience as a Technical Product Owner, System Analyst, Business Analyst or similar technical role
• Experience working with data-intensive systems, data platforms, data pipelines, or data engineering teams
• Understanding of system architecture and data architecture
• Understanding of data flows, data processing, ETL/ELT pipelines, APIs, and system integrations
• Good knowledge of SQL and experience working with databases
• Experience gathering, analyzing, documenting, and managing technical and data-related requirements
• Ability to translate business requirements into clear technical specifications and data requirements
• Understanding of software development lifecycle (SDLC) and Agile methodologies
• Experience working closely with Data Engineers, Developers, Product Managers, and other technical stakeholders
• Ability to create and maintain technical documentation, including data flows, UML/BPMN diagrams, system specifications, and process documentation
• Hands-on experience with system integrations (REST API, message brokers, etc.)
• Strong stakeholder management, risk mitigation, problem-solving, and communication skills
• Excellent command of spoken and written English
• Experience with tools such as Jira and Confluence

Nice to have

• Experience in a Data Engineering / Analytics / BI environment
• Knowledge of data warehouses, data lakes, or cloud data platforms
• Agile methodology certification

We offer

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely