Job Title: Lead Data Engineer (Cross Domain)

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Location: Barcelona, Spain
Join us as a Lead Data Engineer to design and maintain robust data pipelines, drive the best deployment practices, and manage key initiatives in the Procurement domain. You will own the full lifecycle of data products — from source ingestion to Gold layer consumption — using modern DevOps practices across Azure DevOps and GitHub.
You will collaborate with data modelers, data stewards, and business partners to deliver impactful, production-grade data solutions. Elevate your career by mastering cutting-edge tools — dbt, Databricks, PySpark, and CI/CD automation — in a dynamic, innovative, and general environment.
Your key responsibilities
- Design and implement end-to-end data pipelines for ingestion, transformation, and storage across Bronze (raw), Silver (Raw Vault and Business Vault), and Gold (data marts and semantic layer),



ensuring scalable and reliable data processing.
- Develop and manage data ingestion processes from source systems through ETL and API-based extraction methods where platform tables are unavailable, ensuring seamless integration of enterprise data sources.
- Build modular, reusable, and maintainable transformation frameworks using dbt, PySpark, and SQL, including the creation of staging models (raw_stage and stage) with hash keys, hash diffs, business keys, and load metadata in alignment with Data Vault 2.0 and modern engineering best practices.
- Design, build, and maintain CI/CD and DevOps processes in Azure DevOps and GitHub Actions, incorporating automated testing, linting, deployment gates, environment promotion, and standardized branching, pull request, code review, and merge strategies.
- Implement and manage Infrastructure-as-Code (IaC) and deployment automation for data platform resources, including provisioning environments, depl

📌 Lead Data Engineer (Barcelona)
🏢 dsm-firmenich
📍 Barcelona