Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join our Data & Analytics team and play a critical role in designing, building, and maintaining high-quality data products. As a member of a cross-functional and agile team, you will collaborate with data architects, data scientists, analytics leads, front-end developers, and business stakeholders to support data-driven decision-making across the organization.

This role is ideal for someone passionate about data engineering excellence, digital transformation, and delivering impactful analytical solutions.

Key responsibilities:

• Design and implement scalable data pipelines and globally harmonized data models by integrating data from various domains
• Ensure data products adhere to architectural standards, data protection regulations, and quality guidelines
• Provide technical leadership and guidance to other data engineers
• Enhance and maintain implementation frameworks to support analytical use cases and evolving product needs
• Ensure accurate estimations of time and cost, high-quality delivery, and smooth handover of solutions to operations

Ideal candidate profile:

• 5+ years of experience in Data & Analytics
• Min. 3 years of experience and good knowledge of the Azure data ecosystem: Azure Data Lake, Azure Synapse, Databricks
• Knowledge of data cataloguing, data quality management, and modern data management practices
• Proficiency with CI/CD tools and processes
• Fluency in English
• Knowledge of Snowflake is a plus

Conditions:

• Work model: Hybrid – 1 day per week in the Warsaw office
• Salary: 20 000 - 25 000 PLN gross/month
• Employment type: Full-time employment contract (UoP) directly with the client
• Business trips to Germany 1-2 times a year
• Benefits: VIP Medical Care Package, Life & Travel Insurance, Company Bonus, Holiday allowance, Co-financed sport card

*Relocation package and full support with relocation to Warsaw

Recruitment steps:

• Phone call with a Recruiter (20 - 30 min.)
• First interview with a Manager (1h)
• Second interview with a technical team (1h)
• Feedback and decision