Design, build and maintain robust data pipelines (ETL/ELT) for structured and unstructured data
Develop and operate data solutions in the Microsoft Azure environment, using Databricks and/or Microsoft Fabric
Use Python and SQL (and frameworks such as PySpark) for data processing, transformation and automation
Contribute to data integration, data modeling, data quality and data provisioning across projects
Work with modern data architecture concepts such as Lakehouse and Medallion architectures
Collaborate with colleagues and clients to translate requirements into clean, maintainable technical solutions
Requirements
Around 2–4 years of relevant experience in data engineering or a related field
Strong Python skills (pandas, NumPy, PySpark, Spark, Delta Lake or similar frameworks) and solid hands-on experience with the Microsoft Azure data ecosystem
Good command of SQL
Experience with Databricks and/or Microsoft Fabric
Experience designing and operating data pipelines (ETL/ELT)
Experience with modern data architecture concepts such as Lakehouse, Data Mesh, Medallion Architecture, Data Governance or semantic data models
Strong communication skills — you enjoy direct customer contact and translating business problems into robust technical solutions
English is sufficient; German is a plus.
Tech Stack
Azure
ETL
Numpy
Pandas
PySpark
Python
Spark
SQL
Benefits
Working remotely (from Romania)
All necessary equipment
A budget for professional improvement (courses, conferences, books…)
A budget for multi benefits platform (meal tickets, private medical insurance, private pension, etc)
Premium private medical subscription with nationwide coverage
Budget for the mastery of the English and German languages