Staff Data Engineer (all genders)

Eurowings Digital; Köln; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a Staff Data Engineer to shape and scale their cloud data platform. In this role, you will design and evolve data product architectures, build reliable pipelines, and collaborate with various teams to ensure technical alignment and best practices. The ideal candidate has over 5 years of experience in data engineering within a cloud environment and possesses strong SQL and data modeling skills. Join us to drive innovation in data solutions.

Qualifikationen

• 5+ years in data engineering or data architecture roles in a cloud environment.
• Strong SQL skills with hands-on experience with Databricks and Apache Spark.
• Proven experience building production-grade ingestion and transformation pipelines.

Aufgaben

• Design and evolve scalable data product architectures.
• Build and operate reliable ingestion and transformation pipelines.
• Collaborate with platform, security, and operations stakeholders.

Kenntnisse

Data engineering

SQL

Python

Apache Spark

Data modeling

Tools

Databricks

Microsoft Azure

Terraform

Jobbeschreibung

As Staff Data Engineer (all genders), you will shape and scale our cloud data platform and its reference architecture.

What You Will Do

• Design and evolve scalable data product architectures that support analytics, reporting, and advanced use cases across domains
• Partner with domain and product teams to translate business needs into clear data product contracts aligned with our data platform architecture and strategy
• Build and operate reliable ingestion and transformation pipelines, with strong testing, observability, and cost‑aware operations
• Lead delivery and technical alignment in complex cross‑team initiatives through design reviews, mentoring, and hands‑on contribution
• Collaborate closely with platform, security, and operations stakeholders to align engineering standards, CI/CD, and best practices
• Work agile using Scrum or Kanban, contributing to planning, prioritization, and continuous improvement

What you will need

• 5+ years in data engineering or data architecture roles in cloud environment (preferably Microsoft Azure), including designing scalable lakehouse platforms and reference architectures
• Strong SQL skills plus hands‑on experience with Databricks and Apache Spark, including performance tuning and cost‑aware design on Azure
• Proven experience building production‑grade ingestion and transformation pipelines, ideally with Delta Lake patterns, orchestration, and robust testing
• Solid software engineering practices for data systems, including Python or Scala, Git‑based workflows, CI/CD, and infrastructure as code such as Terraform
• Experience with modern data governance and security, including Unity Catalog concepts, RBAC, ABAC, data masking, lineage, and auditing
• Strong data modeling capability for analytics and data products, including dimensional and domain‑oriented modeling, plus designing data products, SLAs, and data quality controls