Overview In this Lead Data Engineer role, you will own end-to-end data pipelines across Bronze, Silver and Gold layers, enabling scalable data products for the Procurement domain. You will drive DevOps-centric deployment practices in Azure DevOps and GitHub, collaborating with modelers, stewards, and business partners to deliver production-grade solutions. You’ll work with dbt, Databricks, PySpark, and CI/CD automation to shape data architecture and governance at scale. This position offers leadership opportunities, cross-functional impact, and exposure to cutting-edge data engineering practices in a integral setting. Compensaciones / Beneficios * growth opportunities * global teamwork * culture of collaboration * learning and development * voice and influence in shaping future * opportunity to impact millions Responsabilidades * Design and implement end-to-end data pipelines for ingestion, transformation, and storage across Bronze, Silver,



and Gold layers * Develop and manage data ingestion processes from source systems via ETL and API-based methods * Build modular transformation frameworks using dbt, PySpark, and SQL with staging models and load metadata in alignment with Data Vault 2.0 * Design, build, and maintain CI/CD and DevOps processes in Azure DevOps and GitHub Actions with automated testing and governance * Implement IaC and deployment automation for data platform resources (dbt, Databricks, clusters, dependencies) * Establish monitoring, observability, and operational excellence for pipeline reliability and rapid issue resolution * Drive data quality, governance, and compliance with automated testing, lineage, and FAIR data principles * Provide technical leadership and cross-functional collaboration across data engineers, modelers, stewards, BI developers, data scientists, and business SMEs Requisitos principales * Strong technical expertise in dbt, SQL, Python, Spark (PySpark), Databricks, Git, Azure DevOps, and GitHub * Proven experience designing and ma

📌 Expert - Data Engineer (Cross Domain) (Barcelona)
🏢 dsm-firmenich
📍 Barcelona