Senior Data Engineer (all genders)

Berlinonsitesenior

Posted yesterday · via Workday

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About this role

THE ROLE & THE TEAM As the Senior Data Engineer, you will design and implement a greenfield Databricks Lakehouse for our CRM domain, connecting Salesforce and other key data sources. You will establish scalable pipelines and the ML infrastructure needed to drive advanced customer forecasting and strategic business decisions. WHAT WE'D LOVE YOU TO DO (AND LOVE DOING) You will act as the technical design authority and driver for the end-to-end data pipelines (ETL/ELT), transforming raw data from Salesforce, Redshift, and Datalake into a high-quality Medallion architecture. You will apply Infrastructure as Code (Terraform) to provision, configure, and secure the Databricks workspace and Unity Catalog to enforce strict GDPR and PII compliance policies for partner data.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, databricks, redshift, terraform, spark…

Level fit

This role is senior-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Berlin. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythondatabricksredshiftterraformsparkmlflowteamsgdprsalesforce

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