- 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 hospitality technology organization seeking a talented Data Engineer to join their growing data platform team in Düsseldorf. Our client is transforming how the restaurant and catering industry leverages data for business insights, analytics, and AI-driven innovation. This is an excellent opportunity to build scalable cloud-native data infrastructure that powers decision-making across a diverse, international organization.
Responsibilities
- Design, build, and operate scalable data platforms and pipelines supporting analytics, AI, and business intelligence initiatives
- Develop and maintain batch and real-time data processing solutions on Google Cloud using modern ETL/ELT practices
- Deliver data products within cross-functional teams, translating business requirements into reliable, cost-efficient technical solutions
- Establish data engineering standards, best practices, and guardrails that enable safe experimentation while protecting production environments
- Enable AI and machine learning initiatives through adoption of cloud-based AI platforms and GenAI orchestration frameworks
- Develop integrations, APIs, and workflow orchestration processes ensuring reliable data movement across systems
- Collaborate with data scientists, analysts, product teams, and engineers to evolve the data ecosystem
What We're Looking For
- 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 ability to collaborate effectively with technical and business stakeholders
- Passion for scalable systems, cloud-native technologies, and AI-enabled data platforms
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. We'll discuss your technical background, career goals, and fit for this role. If there's a strong match, we will submit your application to our client for consideration. Please apply only through Get A Job.ai—do not contact the client organization directly, as doing so may disqualify your candidacy.
Pay
The client anticipates an annual salary of approximately €60,000 for qualified candidates. Compensation discussions will occur during the interview process based on your experience and qualifications.
Equal Opportunity
Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
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 3, 2026
- Apply by October 3, 2026
- Country Germany
- Overview Full job description on this page (411 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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