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Salary
up to $68k per year
Location
Remote (Poland)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Nov 12, 2026. Optiveum scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Optiveum is an IT recruitment and consulting firm headquartered in Lublin, Poland, that sources software developers, network engineers and other technical specialists for client companies. It offers direct-hire recruitment, staff augmentation, recruitment process outsourcing and market-entry advice for firms building engineering teams in Central and Eastern Europe, mostly for clients in Western Europe, the Nordics and Israel. Its current client vacancies include network engineers, Power BI specialists and infrastructure project managers in Warsaw, Gdańsk, Wrocław and Gdynia.

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.

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

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