Data Engineer

QA Madness is a European IT service company that focuses strongly on QA and cybersecurity. The company was founded in 2013 and is headquartered in Poland. Currently, we are searching for an experienced Data Engineer (Microsoft Fabric) to become a great addition to our team. Currently, our client is looking for a Data Engineer to become a great addition to their team.

Responsibilities: 
Build and maintain ETL/ELT pipelines using Azure Data Factory, Spark Notebooks, Fabric Pipelines; 
Design and implement Lakehouse architectures (Medallion: Bronze → Silver → Gold); 
Handle ingestion from diverse sources into Microsoft Fabric and OneLake; Ensure data quality, security and lineage using Microsoft Purview, RBAC, and audit trails; 
Collaborate with BI, DevOps, Cloud engineers and business stakeholders; Contribute to modernizing DWH/BI ecosystems and enabling analytics at scale.

Required Skills: 
1+ years of experience as a Data Engineer, DWH developer, or ETL engineer;
Strong SQL skills and experience working with large datasets; 
Hands-on experience with Spark, Azure Data Factory, or Databricks; Understanding of Lakehouse/DWH concepts and data modeling; 
Upper-intermediate English level.

Soft Skills: 
Analytical thinking and the ability to quickly understand complex data structures; 
Teamwork and collaboration with various stakeholders (developers, analysts, managers).   

Please note, this job is a full-time position, and it is relevant only if you meet all requirements. Any candidate who fails to meet the requirements will not be considered for the job. 
Your application will be considered only once you have completed the questionnaire and uploaded your CV in English. (Click on the hyperlink or copy link into your Internet browser.)