Data Engineer (Informatica + Azure)[M/f]

Arche Solutionsnofluffjobspublished 08/25/2026
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Must-have:PythonAzureDataSenior
Machine translation — original language: Polish.Show original

We are looking for several people to join our growing Data team. We implement long-term projects for clients in the insurance and pharmaceutical industries, focusing on data integration, processing, and migration, as well as the development of ETL processes.

We are recruiting for Data Engineer / ETL Consultant positions at Mid and Senior levels. The role involves both technical work and collaboration with business representatives, gathering requirements, and translating them into appropriate design solutions.

Daily tasks

  • designing, developing, and maintaining ETL processes and data integration solutions,
  • creating data flows using Informatica PowerCenter and Azure Data Factory,
  • analyzing business needs and gathering and refining requirements during meetings with stakeholders,
  • translating business requirements into technical solutions and project documentation,
  • collaborating with business representatives, analysts, architects, and development teams,
  • creating and optimizing SQL queries and working with Azure SQL databases,
  • monitoring data quality, diagnosing problems, and optimizing process performance,

Requirements

at least 3–4 years of experience in the field of Data Engineering, data integration, or ETL processes,

practical experience in creating and maintaining ETL processes using Informatica PowerCenter,

knowledge of IICS/IDMC cloud solutions will be an additional asset,

experience working with Microsoft Azure technologies, in particular Azure Data Factory and Azure SQL,

knowledge of the Microsoft Fabric platform,

very good knowledge of SQL and the ability to work with databases,

knowledge of Python; experience with PySpark will be welcome,

English language at a level that allows for collaboration with the client and working freely with technical documentation.

Must have: Azure, Data engineering, ETL, Informatica PowerCenter

Nice to have: Microsoft Azure, Azure Data Factory, Azure SQL, SQL, Python, PySpark