- Company: Get A Job.ai
- Location: Hamburg
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential AWS consulting partner seeking a Senior Cloud Consultant - Data & AI Engineer for their Hamburg office. This German-speaking role offers a unique 4-day work week structure and the opportunity to lead end-to-end cloud data and AI implementations for enterprise clients.
Our talent team is working exclusively with this organization to find an experienced cloud architect who can design scalable data platforms and generative AI solutions while mentoring junior engineers and contributing to pre-sales technical discussions.
Responsibilities
- Lead development and implementation of scalable AWS architectures for data platforms and generative AI/agentic AI solutions
- Ensure security, performance, reliability, and cost efficiency aligned with AWS Well-Architected framework
- Make architecture decisions, document trade-offs, and translate business requirements into measurable technical specifications
- Develop generative AI and agentic AI solutions on AWS Bedrock, utilizing frameworks for agent orchestration and runtime governance
- Build agent architectures with tool integrations, multi-step orchestration, and clearly defined scope boundaries
- Implement human-in-the-loop patterns including approval workflows and review automation
- Establish evaluation and quality assurance processes for LLM and agent systems
- Participate in technical pre-sales activities, project scoping, and statement of work development
- Serve as trusted technical advisor to clients, translating complex technology into clear business value
- Mentor junior colleagues and contribute to internal standards, best practices, and training programs
What We're Looking For
Must-Have Requirements:
- 5+ years in cloud, data, software, or ML engineering, including 2+ years with end-to-end architecture ownership
- Strong hands-on expertise with AWS services and infrastructure
- Solid experience in data engineering and ETL architectures
- Proven experience with generative AI and agentic AI projects
- Excellent Python programming skills
- Fluent German and professional English language abilities
Nice-to-Have Qualifications:
- AWS certifications
- Pre-sales or technical leadership experience
- Consulting background or client-facing project work
- Experience with AWS Connect
- Infrastructure as Code expertise (Terraform or similar)
- LLM customization, fine-tuning, and distillation experience
- MLOps experience including model deployment, monitoring, and lifecycle management
- Kafka or streaming technology experience
How We Work With You
Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and confirm alignment with the role requirements. Qualified candidates will be submitted to our client for consideration. The typical hiring process involves up to three interviews, with offers generally extended within four weeks.
Please do not contact the client directly. All applications and communications should go through Get A Job.ai to ensure a coordinated and professional process.
Additional Benefits:
- 4-day work week with 36-hour reduced weekly schedule
- Competitive compensation package with performance-based variable component
- Personal mentoring and structured onboarding from day one
- Employer-funded AWS certification opportunities
- Remote-friendly setup with minimal travel (maximum 20% annually)
- Regular team events and offsites
Pay
Compensation details will be discussed during the screening process and are based on experience level.
Location: Hamburg, Germany
Work Schedule: 4-day week, 36 hours
Language Requirements: German (professional fluency) and English (professional level)
Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and experiences.
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:
Note: Germany observes a public holiday on Oct 3 — German Unity Day.
🇩🇪 Relocation safety for Germany: Very Safe — via Warnely, CC BY 4.0
National unemployment rate in Germany: 3.7% — via World Bank
Wage growth in Germany (year over year): 2.9% — via Eurostat
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)
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 Senior Cloud Consultant – Data & AI Engineer (f/m/d, 4-Days-Week), German Speaking
- Employer Get A Job.ai
- Location Hamburg
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 17, 2026
- Apply by October 18, 2026
- Country Germany
- Overview Full job description on this page (495 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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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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