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Senior Data Engineer (Databricks/Azure Data Factory) | f/m/d

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Summary

Senior Data Engineer building and maintaining financial data platforms for ERGO's insurance group IT arm: designing data models and ETL pipelines with Azure Data Factory, Databricks, Python, and SQL, while ensuring data quality, security, and regulatory compliance in an international Scrum team.

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About Us

ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities.

How you will get the job done

  • designing and implementing data models and architectures that support financial data management
  • developing and maintaining ETL processes to integrate data from diverse sources, including market data feeds, customer information systems, and transactional databases
  • ensuring data quality, security, and compliance with regulatory requirements
  • collaborating with business owners, data analysts and scientists, software engineers, and DevOps specialists to support the development of predictive models and business intelligence tools
  • optimizing data processing workflows for performance, scalability, and reliability
  • working in an international Scrum team

Skills and experience you will need

  • fluent spoken and written English
  • expertise in writing and optimizing SQL code and good understanding of MS SQL internals
  • hands‑on experience with Azure Data Factory (ADF) pipelines
  • proficiency in incremental and full data loads
  • familiarity with CI/CD integration for data workflows
  • knowledge of Databricks and Python for advanced data processing
  • strong grasp of dimensional modeling and schema design
  • experience implementing Change Data Capture (CDC) in production environments
  • ability to configure and troubleshoot CI/CD pipelines for database deployments
  • being skilled in pre‑ and post‑deployment validations
  • expertise in query optimization and resolving performance bottlenecks
  • proficiency in debugging issues across staging and production environments
  • familiarity with Active Directory (AD) group management
  • knowledge of role‑based access control
  • integration experience with Entra ID for secure data access

Let’s be healthy

Medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let’s be balanced

Work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let’s be smart

We organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let’s be responsible

Each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let’s be fun

Company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let’s be diverse

Every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

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Based on 39 similar vacancies

4701–8597$ /month

4701 $ 25%

6752 $ median

8597 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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