Description
We are looking for a Senior Data Engineer to build and maintain scalable data solutions in the Automotive Tech sector. You will develop reliable data pipelines and reusable data products, ensuring quality, governance, and efficient processing across Azure platforms.
Responsibilities
•Design, implement, and maintain data pipelines and transformations using Databricks and Azure Synapse.
•Develop reusable, high-performance data products across bronze, silver, and gold layers.
•Integrate structured and unstructured data from SAP, Salesforce, and other internal or external systems.
•Ensure data quality, lineage, governance, and security compliance.
•Optimize processing for scalability, performance, and cost efficiency.
•Collaborate with the Data Architect, Business Analysts, and business stakeholders, automating workflows, testing, and deployment through CI/CD.
Requirements
•At least 5 years of proven experience as a Data Engineer.
•Strong Python, PySpark, and SQL skills.
•Azure Databricks experience is mandatory, alongside knowledge of Azure Synapse, Azure Data Lake Storage, and Azure Data Factory.
•Understanding of modern data architectures, data lifecycle management, and Data Vault, Dimensional, and Entity-Relationship modeling.
•Experience with CI/CD tools such as Azure DevOps and Git, and Infrastructure-as-Code tools such as Terraform.
•Familiarity with Microsoft Purview, Databricks Unity Catalog, or comparable metadata and lineage tools.
•Experience with Agile and DevOps delivery, emphasizing standardization, documentation, and reusable components.
•An analytical and autonomous professional who takes ownership of data quality and delivery.
•Comfortable collaborating across technical and business teams, with a structured approach to problem-solving and a proactive interest in learning new technologies.
Nice to have
•Databricks-related certifications
Conditions
•Hybrid — 1 day onsite per week
•Rate between €2700 - 3000 RV or unipessoal (gross value)
