Product Owner

• Serve as the voice of the customer and primary decision-maker for data platform features and capabilities.
• Define, maintain, and prioritize the product backlog for the data engineering team.
• Translate business needs into detailed user stories, technical requirements, and acceptance criteria.
• Collaborate with engineering teams to design and deliver scalable ETL/ELT pipelines, data models, and platform enhancements.
• Support adoption of modern data architectures, including cloud data lakes, streaming data, and batch processing.
• Align platform capabilities with data governance, quality, and lineage best practices.
• Participate in Agile ceremonies, ensuring strong delivery cadence and team alignment.
• Monitor the performance and value delivery of the data platform, adjusting priorities based on evolving needs.
• Stay informed on industry trends in data engineering, analytics, and cloud technologies.

• Contract under Polish law: B2B or Umowa o Pracę
• Benefits such as private medical care, group insurance, Multisport card
• There are English classes available
• Hybrid work in Warsaw (Mokotów)
• Opportunity to work with excellent professionals
• High standards of work and focus on the quality of code
• New technologies in use
• Continuously learning and growth
• International team
• Pinball, PlayStation & much more (on-site 🤫)

Ideal Candidate:

• Independent Worker. Capable of working autonomously, making informed decisions and taking responsibility for outcomes. Ability to independently acquire knowledge and insights.
• Proactive Attitude. Takes initiative and adopts a "leave it with me" approach to tasks.
• Resilience and Challenge-Oriented. Comfortable with not knowing everything immediately but is determined to find out and solve complex problems.
• Communication. Excellent verbal and written communication skills to interact with various stakeholders.
• Analytical Ability. Combine various sources of information to form a complete picture.

Required Qualifications:

• 4+ years of experience as a Product Owner, Business Analyst, or Platform Lead in a data or engineering domain.
• Strong understanding of data platforms, data lake architectures, and data engineering workflows.
• Familiarity with data ingestion, transformation, modeling, and orchestration (e.g., using SQL, Python, or tools like dbt).
• Experience working in an Agile/Scrum environment with a clear product ownership mindset.
• Ability to understand and articulate technical data platform concepts to non-technical stakeholders.
• Proficiency in reading and interpreting SQL and data models (hands-on coding not required, but a plus).

Preferred Qualifications:

• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP, Snowflake, or similar).
• Knowledge of data governance frameworks, catalogs, and access control systems.
• Exposure to data mesh, lakehouse, or modern data stack concepts.
• Experience working in regulated or complex environments (e.g., finance, healthcare, telecom).