Senior Data Engineer - Databricks

Senior Data Engineer (Azure Databricks)

Location: Remote (visit to the office in Wrocław once every 10 weeks)
Working model: Remote
Level: Senior / Senior+ (Tech Lead experience is a strong plus)

About the role

We are looking for an experienced Senior Data Engineer to design, build, and scale modern data solutions on the Azure Data Platform. You will work closely with business stakeholders and cross‑functional teams, contributing to end‑to‑end data products and helping shape data architecture and best practices.
Experience in a Tech Lead or similar role is highly appreciated.

Key Responsibilities

• Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.

• Implement and maintain data solutions across the Azure Data Platform (Data Lake, Data Factory, Synapse, etc.).

• Develop and maintain Data Products exposed via Unity Catalog.

• Collaborate closely with business stakeholders to gather requirements and translate them into scalable technical solutions.

• Ensure data quality, security, and compliance across all solutions.

• Integrate data solutions into existing business processes and cross‑functional systems.

• Continuously improve performance, cost‑efficiency, and scalability of data systems.

• Support architectural decisions and mentor team members (especially valuable if you have Tech Lead experience).

Required Skills & Qualifications

• Strong expertise in Azure Databricks, Python, and Apache Spark (must‑have).

• Solid experience with Azure Data Services, including:

  • ADLS Gen2

  • Azure Data Factory

  • Azure Synapse

• Experience working with APIs (REST or equivalent).

• Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.

• Familiarity with CI/CD pipelines and version control systems (Git).

• Strong problem‑solving skills and a structured approach to work in an agile delivery model.

• Excellent communication and collaboration skills; you enjoy working with business stakeholders and cross‑functional teams.

Nice to Have

• Experience with big data processing and structured streaming in Databricks.

• Familiarity with Declarative Automation Bundles (formerly Databricks Asset Bundles).

• Knowledge of data governance, lineage, and security best practices, including Unity Catalog.

• Exposure to Power BI or similar data visualization tools.

• Previous experience as a Tech Lead or in a similar leadership role.

Benefits

• Sports card

• Private medical care

• Group insurance

• Access to professional training and learning platforms

• Long‑term, stable cooperation

• Real impact on data architecture and product decisions