Senior Data Engineer (Databricks)
About The Position
Optiveum is the recruitment and contracting party for this role, and the successful candidate will sign a cooperation agreement directly with Optiveum. The Senior Data Engineer will join the client's Risk Technology team and design, develop, and support enterprise data solutions using Databricks. The role involves working closely with business and technology stakeholders to deliver scalable, high-quality data platforms and analytics capabilities. The position is full-time (40 hours per week) and 100% remote from Poland, with occasional visits to the office in Poznań or Wrocław. The rate is up to 135 PLN per hour on a B2B basis. Advanced Polish and English are required.
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 optimization.
- Experience working in Agile delivery teams.
- Advanced Polish and English.
Nice To Haves
- Experience within Financial Services, Risk, Regulatory, or ESG technology environments.
- Exposure to Power BI, Python, DevOps, and cloud-native architectures.
Responsibilities
- Design and build data pipelines using Databricks, PySpark, and SQL.
- Develop and maintain data models, ETL processes, and reporting datasets.
- Optimize 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
