Staff Data Engineer (all genders) at Eurowings Digital GmbH

Cologne, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, Microsoft Azure, Databricks, Apache Spark, SQL, Python, Scala, Delta Lake, Terraform, Unity Catalog, Data Modeling, CI/CD, Data Governance, DataOps, Agile

Industry

Information Technology & Services

Description

Job overview As Staff Data Engineer (all genders), you will shape and scale our cloud data platform and its reference architecture. Your mission is to enable trusted, well governed data products for analytics, reporting, and advanced use cases by setting technical direction, establishing engineering standards, and leading delivery in complex cross-team environments. You will work hands on across the end-to-end data product lifecycle, from translating domain needs into clear contracts and scalable models, to building and evolving ingestion and transformation patterns, to ensuring discoverability, lineage, access controls, and quality monitoring. You combine deep data engineering expertise with strong software engineering practices. You care about reliability, security, and operational excellence, and mentor others to raise the bar across the organization. What you will do Design and evolve scalable data products 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 n 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 in an agile environment using Scrum or Kanban, contributing to planning, prioritization, and continuous improvement Job Title Staff Data Engineer Job Subtitle Job Introduction 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 budling 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 What you will bring Structured, analytical thinking with a bias for pragmatic, scalable design and long-term maintainability of a lakehouse platform and its data products Product mindset for data platforms, focusing on reusable patterns, accelerators and standards that speed up delivery for multiple teams Strong problem solving and stakeholder translation skills, turning ambiguous domain needs into clear technical direction, roadmaps, and delivery guidance Ownership for DataOps and operational excellence, including testing, observability, incident learnings, and cost efficient runtime practices Strong collaboration skills to build governance by design, partnering closely with data governance stakeholders on processes, access controls, and data product readiness Communication and mentoring strength, influencing through design reviews, hands on contribution, and raising engineering quality across the organization Curiosity and learning mindset, with interest in enabling ML and AI use cases by strengthening platform foundations and consistent data product delivery Eurowings Digital Benefits Inclusivity all genders Workplace type At Eurowings Digital, we operate a hybrid working model that combines remote work flexibility with in-office collaboration to support both productivity and team connection. Apply now! Please submit the latest version of your resume in English. About us We are dreamers, doers, and enthusiasts! Our mission is to enable our customers on leisure and/or business travel to enjoy a seamless travel booking experience from the tip of their fingers. Therefore, we are continuously working passionately on providing diverse and attractive offers on our online booking platforms Eurowings & Eurowings Holidays and mobile Apps to empower our customers with relevant information and smart digital services throughout their travel experience.

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Responsibilities

The role involves designing and scaling a cloud data platform and reference architecture to enable trusted data products for analytics and reporting. You will lead technical delivery across complex cross-team environments, establishing engineering standards and building reliable ingestion and transformation pipelines.