Key skills
AzureETLNumpyPandasPySparkPythonSparkSQLNumPyELTData EngineeringDatabricksCommunication
About this role
Role Overview
- 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