Mid Data Engineer Azure
Job Summary
The candidate will join a new Tech Hub in Lisbon to work on high-impact strategic data initiatives. This role involves designing and implementing robust cloud-native data pipelines using a modern Microsoft Azure stack. The position requires strong collaboration with international engineering and product teams to optimize data architecture.
Responsibilities
- Design and implement ETL/ELT data pipelines
- Develop solutions on Microsoft Azure stack
- Write production code in SQL, Spark, and Python
- Perform code reviews and pipeline optimization
Required Skills
- 3+ years Data Engineering experience
- Proficiency in Microsoft Azure (Fabric/ADF/Synapse)
- Strong SQL, Python, and Spark skills
- Knowledge of ETL/ELT and data architecture
- English B2+ and fluent Portuguese
Job Details
Responsibilities:
- Designing and implementing robust data pipelines (ETL/ELT) on cloud-native architecture.
- Building solutions on Microsoft Azure — Fabric, Azure Data Factory, Synapse.
- Writing production code in SQL, Spark, Python.
- Driving code reviews, testing and pipeline optimization.
- Collaborating with engineering and product teams across geographies.
Requirements:
- 3+ years in Data Engineering with a cloud-native focus.
- Hands-on with Microsoft Azure (Fabric / ADF / Synapse), or comparable.
- Strong SQL + Python + Spark.
- Solid grasp of ETL/ELT workflows and data architecture principles.
- Git + code reviews.
- English B2+ and fluent Portuguese.
Nice to have:
- DevOps / DataOps (CI/CD for data).