Job details:

• Full-time
• Senior level
• Start ASAP
• Start date 05/04/2026
• End date 31/08/2027
• Location: Hybrid / Wroclaw preffered

Role Overview:

We are looking for a passionate and skilled Data Engineer to join client Sales Data & AI team. In this role, you will design, build, and optimize data pipelines, contributing to the development of scalable and reliable data products for sales operations.

This is a hands-on, collaborative position ideal for someone who enjoys transforming complex data challenges into production-grade solutions that have a real business impact.
 

Scope:

1. Maintaining critical existing solutions (currently in Synapse / IICS stack)
2. Strategically redesigning these solutions into a modern Databricks stack

Additional responsibilities include:

• 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, Databricks, etc.)
• Develop and maintain APIs for data ingestion, sharing, and interoperability
• Collaborate 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

Requirements:

• Strong experience with IICS stack
• Expertise in Azure Databricks, Python, Spark
• Solid experience with Azure Data Services, including Data Lake and Data Factory
• Experience with ingestion tools such as Qlik Replicate, MQ, MQCC
• Experience with API development (REST/JSON or equivalent)
• Strong understanding of ETL processes, data modeling, and data architecture principles
• Familiarity with CI/CD pipelines and version control (Git, etc.)
• Strong problem-solving skills and structured working style in an agile delivery environment
• Excellent communication and collaboration skills, with experience working closely with business stakeholders

 
Nice to have:

• 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

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