- Company: Get A Job.ai
- Location: Düsseldorf
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
Responsibilities
We are representing a confidential hospitality technology organization in their search for a Senior Data Engineer based in Düsseldorf. In this role, you will shape the architecture and technical direction of a Google Cloud data platform while enabling a team of engineers to deliver reliable, high-quality data products.
Your core responsibilities include:
- Define and evolve the architecture, standards, and roadmap of the Google Cloud data platform, ensuring alignment with business goals and long-term scalability
- Design and deliver reliable, high-performance data pipelines and data products using modern cloud-native tools and engineering practices
- Establish data quality, governance, testing, monitoring, and operational excellence practices that enable trusted analytics and machine learning outcomes
- Mentor engineers across different experience levels through coaching, code reviews, technical guidance, and knowledge sharing
- Lead the resolution of complex technical challenges, production incidents, and cross-functional initiatives while fostering collaboration and shared ownership
- Drive the adoption of modern engineering practices, including AI-assisted development, with clear quality, security, and reliability guardrails
What We're Looking For
- Proven expertise in designing and operating scalable data platforms and distributed data systems in a cloud environment
- Deep knowledge of data architecture, data modeling, and modern warehouse or lakehouse approaches, with strong Python and SQL skills
- Extensive hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Cloud Composer, Pub/Sub, Dataflow, and related technologies
- Strong experience building data orchestration, transformation, and testing solutions using tools such as Airflow and dbt
- Demonstrated ability to define technical direction, influence architectural decisions, and communicate effectively with both technical and non-technical stakeholders
- Collaborative leadership style with a passion for mentoring others, driving continuous improvement, and balancing innovation with operational excellence
How We Work with You
When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening conversation. If there is a strong mutual fit, we will submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure a smooth, professional process.
Pay
Compensation details will be discussed during the screening process based on your experience and qualifications.
Equal Opportunity
Get A Job.ai is committed to inclusive hiring practices and welcomes candidates from all backgrounds to apply.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Senior Data Engineer (m/f/d)
- Employer Get A Job.ai
- Location Düsseldorf
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 3, 2026
- Apply by October 3, 2026
- Country Germany
- Overview Full job description on this page (376 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Engineer
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Develop and document database architectures.
- Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
- Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
- Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
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Occupation family: Data Engineer
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