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Staff Data Engineer

München, München (Kreis)💼 Full-time🗓 2026-04-19 → 2026-08-11

Core

Architecting petabyte-scale data platforms and frameworks to unify fragmented data models and enable self-service data consumption across the organization.

Role type

Staff Data Engineer (Technical Lead)

Builds

Modern, scalable data infrastructure and reusable data engineering frameworks

Domain

Global commerce, payments, data engineering, cloud infrastructure

Deliverable

production ML models | infrastructure

Required skills

Data engineering, data warehousing, distributed systems, cloud infrastructure (GCP/AWS), software engineering principles, agentic AI systems (LLMs/metadata automation), technical roadmap planning, data governance

Preferred skills

Hands-on experience with dbt, SQL, BigQuery, Snowflake, automated data observability, incident response

Technologies

dbt, SQL, BigQuery, Snowflake, GCP, AWS, LLMs

Responsibilities

Own long-term technical vision for data engineering; Architect and implement petabyte-scale data platforms; Unify fragmented data models into single sources of truth; Optimize data ingestion and transformation processes; Coach engineers on data engineering best practices; Implement automated data governance protocols

Seniority

Staff, technical leadership & architecture

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