Data Engineer

Functieomschrijving

Location: hybrid, 2-3 days per week in the Wrocław office
Salary: 130 PLN/h- B2B

This role is hands-on, highly collaborative, and ideal for someone who enjoys turning complex data challenges into reliable, production-grade solutions.

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, Databricks, etc.).
• Develop and maintain APIs supporting data ingestion, data sharing, and interoperability.
• Collaborate closely with business stakeholders to gather requirements and translate them into 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.

Required Skills & Qualifications:

• Strong expertise in Azure Databricks, Python, and Spark (must-have).
• Solid experience with Azure Data Services, such as:Azure Data Lake and Azure Data Factory
• Experience in ingestion tools like: Qlik Recplicate / MQ / MQCC
• Experience with API development (REST/JSON or equivalent).
• Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.
• Familiarity with CI/CD pipelines and version control (Git, etc.).
• Strong problem‑solving skills and structured way of working within an agile delivery model.
• Excellent communication and collaboration skills - you enjoy interacting with business stakeholders and cross-functional teams.
• Nice-to-Have Skills
• Experience with big data processing and performance tuning in Spark.
• Knowledge of data governance, lineage, and security best practices.
• Exposure to Power BI or similar visualization tools.

Offer:

• Multisport Card
• Life insurance
• Private healthcare
• PowerYou platform