- Company: Get A Job.ai
- Location: Düsseldorf
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential client in the hospitality technology sector, seeking a Data Engineer to join their team in Düsseldorf. Our client is building next-generation data platforms that power analytics, machine learning, and business intelligence across their organization. This role offers the opportunity to work with cutting-edge cloud technologies and contribute to meaningful digital transformation initiatives.
Responsibilities
As a Data Engineer, you will be part of a specialized data insights team working across multiple centers of excellence. Your core responsibilities include:
- Designing, building, and operating scalable data platforms and pipelines that support analytics, AI, and business decision-making
- Delivering data products within cross-functional squads and translating business requirements into reliable, cost-efficient technical solutions
- Developing and maintaining both batch and real-time data processing solutions on Google Cloud using modern ETL/ELT practices
- Establishing data engineering standards, guardrails, and best practices to enable safe experimentation while protecting production environments
- Enabling AI and machine learning initiatives through adoption of Vertex AI, Model Garden, and GenAI orchestration frameworks
- Developing integrations, APIs, and workflow orchestration processes to ensure reliable and scalable data movement across systems
What We're Looking For
The ideal candidate will bring strong technical expertise in data engineering and cloud platforms:
- Proven experience designing and operating distributed data systems and processing large-scale datasets
- Strong proficiency in Python and SQL, with working knowledge of Java and software engineering best practices
- Hands-on experience with Google Cloud technologies, including BigQuery, Cloud Storage, Dataflow, Cloud Run, and Pub/Sub
- Experience building and orchestrating data pipelines using tools such as DBT, Airflow, Spark, and API-based integrations
- Familiarity with machine learning and GenAI technologies, including Vertex AI, Model Garden, LangChain, or similar orchestration frameworks
- Fluent English communication skills and the ability to collaborate effectively with technical and business stakeholders
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 to understand your background and career goals. If there's a strong match, we will submit your candidacy to our client for consideration. Please note that you should not contact the client directly—all communication and coordination will flow through our recruiting team to ensure a smooth and professional process.
Pay
The client has indicated an approximate annual salary of 60,000 EUR for qualified candidates. Specific compensation will be discussed during the interview process based on your experience and qualifications.
Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout our recruitment process.
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 Data Engineer (m/f/d)
- Employer Get A Job.ai
- Location Düsseldorf
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 7, 2026
- Apply by October 8, 2026
- Country Germany
- Overview Full job description on this page (428 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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