We’re looking for a Data Engineer to join our growing and dynamic team, where you’ll play a key role in designing, building, and maintaining scalable, high-performance data solutions. If you’re passionate about modern data platforms and enjoy working end-to-end across the data lifecycle, this is a great opportunity for you.
What you’ll do
- Take ownership of the end-to-end data lifecycle, from ingestion to visualization, building robust and scalable data pipelines.
- Design and implement modern data architectures, including Medallion (Bronze, Silver, Gold) layers using Azure and Databricks.
- Develop and optimize ETL/ELT pipelines using tools such as Azure Data Factory and Databricks.
- Integrate data from ERP systems and other enterprise sources, ensuring consistency, reliability, and scalability.
- Build and maintain Data Warehouses (DWH) and ensure seamless connectivity with Power BI for reporting and analytics.
- Collaborate with cross-functional teams to design data models that support business intelligence and decision-making.
- Ensure best practices in data quality, governance, and security across the platform.
What we offer
- Hybrid working model (more remote than on-site)
- Access to Udemy learning paths
- Versátil compensation via Cobee
- Flexible working hours
- A growing, international, and collaborative environment
- Real impact in a department in expansion, where you’ll help shape the data platform
- 3+ years of experience in Data Engineering, working with Azure and Databricks
- Strong SQL skills, including query optimization and performance tuning
- Advanced Python for data processing and pipeline development
- Hands-on experience with Azure Data Factory, Airflow, or similar orchestration tools
- Experience in cloud-based data integration and transformation
- Proven experience building end-to-end data pipelines
Nice to have
- Experience working in Agile environments
- Interest in collaborating with AI / Data Science teams
- Knowledge of data governance, security, and quality frameworks
- Familiarity with ETL tools such as SAP Data Services, Informatica, or SSIS
At Eraneos, we are committed to respecting diversity and equal opportunities. We are convinced that a diverse work team is the key to success. This is why we create an inclusive work environment, without discriminating against any person based on age, sexual orientation, nationality, religion, marital status, disability or gender identity.