Senior Data Engineer: End-to-End Pipelines on Azure

dsm-firmenich

Cataluña

Vor Ort

EUR 80.000 - 120.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Global impact
Sustainability ethos
Career growth
Collaborative culture
Voice and ideas valued

Zusammenfassung

dsm‑firmenich in Barcelona, Spain is seeking an Expert - Data Engineer to own data pipelines from ingestion to the Gold layer, applying modern DevOps and Data Vault 2.0 practices. You will lead CI/CD pipelines, IaC automation, and observability across Azure DevOps and GitHub, collaborating with data scientists, stewards, and business partners to deliver scalable, production-grade data solutions.

You will deploy and manage Databricks workflows, ensure data quality, governance, and FAIR data

Qualifikationen

  • Design, build and maintain end-to-end data pipelines across Bronze, Silver and Gold layers.
  • Develop data ingestion processes using ETL and API-based methods.
  • Create modular transformation frameworks with dbt, PySpark and SQL.

Aufgaben

  • 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 through ETL and API-based extraction methods.
  • Build modular transformation frameworks using dbt, PySpark, and SQL, including staging models with load metadata.

Kenntnisse

dbt
SQL
Python
Spark (PySpark)
Databricks
Git
Azure DevOps
GitHub

Tools

Terraform
Bicep

Jobbeschreibung

dsm‑firmenich in Barcelona, Spain is seeking an Expert - Data Engineer to own data pipelines from ingestion to the Gold layer, applying modern DevOps and Data Vault 2.0 practices. You will lead CI/CD pipelines, IaC automation, and observability across Azure DevOps and GitHub, collaborating with data scientists, stewards, and business partners to deliver scalable, production-grade data solutions.

You will deploy and manage Databricks workflows, ensure data quality, governance, and FAIR data

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