- Company: Get A Job.ai
- Location: Hamburg, München, Düsseldorf, remote
- Salary: Pay not listed
- Work type: Remote
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential global management consultancy with a specialized analytics and cloud engineering practice. Our talent team is seeking a Data Engineer to join their high-performing technical unit serving enterprise clients across German-speaking markets. This role offers exposure to complex data platform projects, modern cloud architectures, and the opportunity to work with international Fortune 500 organizations.
You'll be part of an agile squad that takes ownership of projects from initial scoping through production deployment, working across AWS, Azure, and GCP environments. The position is open to candidates in Hamburg, München, Düsseldorf, or remote within Germany.
Responsibilities
- Own end-to-end delivery of data engineering projects, from requirements gathering and stakeholder alignment through measurable business outcomes
- Design and implement data architectures supporting both batch and streaming workloads at varying scales
- Provision and manage cloud infrastructure on AWS, Azure, or GCP to support modern data platforms
- Build production-grade Python ETL/ELT pipelines with orchestration tools such as Airflow, Dagster, or Prefect
- Work with data lake technologies and optimize OLAP data warehouses and lakehouses for performance and cost
- Model data across SQL and NoSQL databases with attention to scalability and query optimization
- Create web APIs using Python frameworks (FastAPI, Flask) following OpenAPI/Swagger standards
- Automate infrastructure provisioning and deployments using Infrastructure-as-Code and container technologies (Docker, Kubernetes, OpenShift)
What We're Looking For
- Passionate data engineer with strong engineering craftsmanship and interest in AI-driven technology
- Hands-on production experience with at least one cloud hyperscaler (AWS, Azure, or GCP preferred)
- Proven ability to write idiomatic, well-tested Python code for production environments
- Expertise in performance tuning and optimization of relational databases through indexing, sharding, and partitioning strategies
- Experience with data workflow orchestration tools such as Apache Airflow, Dagster, or Prefect
- Working knowledge of large-scale data processing and modern analytics stacks (Apache Spark, Snowflake, dbt, or similar)
- Proficiency with containerization and orchestration platforms (Docker, Kubernetes, or equivalent)
- Excellent German language skills (C1 level) and conversational English
- Customer-focused mindset with willingness to travel occasionally to client sites
- Results-driven approach with ability to manage stakeholder relationships
How We Work with You
Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your technical background and career goals. We then present qualified candidates to our client for their review. Please do not contact the client organization directly—all communication flows through our team to ensure a smooth, professional process.
Pay
Compensation details will be discussed during the screening process based on your experience level and the client's current salary bands.
Equal Opportunity
Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of background, identity, or personal characteristics.
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.
Explore Get A Job.ai online
Working in Hamburg, Deutschland
Weather right now in Hamburg, Deutschland: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:
🇩🇪 Relocation safety for Germany: Very Safe — via Warnely, CC BY 4.0
National unemployment rate in Germany: 3.7% — via World Bank
GDP per capita in Germany: $60,496 — via World Bank
Consumer price inflation in Germany: 2.2% (annual) — via World Bank
Real GDP growth in Germany: 0.2% (annual) — via World Bank
Statutory minimum wage in Germany: €2,343/month — via Eurostat
Cost of living in Germany: 9.1% above the EU average — via Eurostat
Job vacancy rate in Germany: 2.8% — via Eurostat
Average hours worked per year in Germany: 1,332 — via OECD
Nearby green space: 10 parks within 1.5km — closest is Hammaburg-Platz (275m). via OpenStreetMap
Nearest public transit: Mönckebergstraße (station, 129m). via OpenStreetMap
- Elevation 20m (66 ft)
About this role & career path
Traits that fit this role
- Innovation
- Achievement Orientation
- Intellectual Curiosity
- Cautiousness
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET
Industry news
- I was a software engineer who couldn't get excited about AI. Now I'm studying to be a nurse. - Business Insider
- ‘AI code apocalypse’ hasn’t hit engineers as hard as the industry may think - itbrew.com
- The Great Coding Reset: How AI is changing software engineering - Business Insider
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Data Engineer (all genders)
- Employer Get A Job.ai
- Location Hamburg, München, Düsseldorf, remote · Remote-friendly
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 8, 2026
- Apply by October 9, 2026
- Country Germany
- Overview Full job description on this page (446 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.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Engineer
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