Senior Data Engineer (Databricks)
At OPTIVEUM sp. z o.o. · Warsaw; Warsaw, Poland; Gdańsk; Gdańsk, Poland; Gdynia, Poland; Łódź; Łódź, Poland
- Data and ML
- Senior
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Where you’ll work
Hybrid, based in Gdańsk, Warsaw or Łódź
“Warsaw”
From the location.
“Warsaw, Poland”
From the job board field.
“Gdańsk”
From the location.
“Gdańsk, Poland”
From the job board field.
“Gdynia, Poland”
From the job board field.
“Łódź”
From the location.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
Languages
Language: Polish
“Advanced Polish and English”
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- Posted
- 12 November 2026
- First seen by us
- 13 November 2026
- Last checked
- 13 hours ago
Job description
From OPTIVEUM sp. z o.o.’s job post, as they wrote it.
Senior Data Engineer (Databricks)
About the Offer
We are currently looking for a Senior Data Engineer with Databricks experience to join the Risk Technology team of our client. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.
You will design, develop and support enterprise data solutions using Databricks, working closely with business and technology stakeholders to deliver scalable, high-quality data platforms and analytics capabilities.
Read the full description
Key Details:
* Rate: up to 135 PLN/h (B2B)
* Work Model: 100% remote from Poland, with occasional visits to the office in Poznań or Wrocław, full-time (40h/week)
* Languages: Polish and English (advanced)
Responsibilities:
* Design and build data pipelines using Databricks, PySpark and SQL
* Develop and maintain data models, ETL processes and reporting datasets
* Optimise data quality, performance and scalability across the platform
* Collaborate with business users, analysts and developers to deliver data-driven solutions
* Support cloud-based data architecture, CI/CD and data governance initiatives
* Mentor junior engineers and promote engineering best practices
Requirements:
* Strong experience with Databricks and PySpark
* Advanced SQL and data warehousing expertise
* Experience with Azure Data Lake, Azure Data Factory or similar cloud data technologies
* Knowledge of data modelling, ETL/ELT and performance optimisation
* Experience working in Agile delivery teams
* Advanced Polish and English
Nice to Have:
* Experience within Financial Services, Risk, Regulatory or ESG technology environments
* Exposure to Power BI, Python, DevOps and cloud-native architectures
Senior Data Engineer (Databricks)OPTIVEUM sp. z o.o.
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