Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data infrastructures on AWS, optimize data pipelines with Kinesis and Lambda, and support teams in using Amazon SageMaker Unified Studio independently.
Job Technologies
Your role in the team
- Enable teams across the company to get value from data using our internal tools and platform. You'll work with engineers, analysts, and stakeholders across different tech stacks and business domains - for a platform team. Communicating well is as important as the code we write.
- Set up and govern Amazon SageMaker Unified Studio (SMUS) for other teams, so they can work independently without us becoming a bottleneck.
- Keep our AWS data infrastructure available, scalable, and secure, and own the operational side of what you build.
- Build and optimize event-driven ingestion pipelines with Amazon Kinesis, Amazon Data Firehose, and AWS Lambda.
- Help the team grow.
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Our expectations of you
Qualifications
- You want to work as a team, not just alone: pair programming, sharing knowledge, mentoring and clear communication should feel natural in your day-to-day work rather than overhead.
- A solid DevOps foundation: CI/CD, containers, monitoring and alerting.
- Working knowledge of table and data formats such as Apache Iceberg, Parquet, Protocol Buffers.
- Nice-to-Haves: Exposure to data governance, GDPR and data privacy engineering.
- Vertrautheit mit Orchestrierungs-Frameworks für Datenpipelines, wie Apache Airflow.
Experience
- Strong programming skills in Python. Experience with the JavaScript/TypeScript ecosystem and/or a JVM language is a plus.
- Experience developing and running applications in cloud-native environments (for example AWS Lambda and S3), deployed through Infrastructure as Code with CDK or Terraform.
- Hands-on experience applying AI in a data context: to speed up your own development, to automate routine work, and to help others do the same.
- Experience with SQL in both analytical and transactional databases.
- Experience designing and building (data) APIs.
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What we offer
- Competitive salary (including bonus).
- Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
- Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.).
- Budget and monthly expense allowance for home office setup.
- Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries.
- Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides.
- Subsidized fitness club membership or bike leasing.
- Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes.
- Mental health support, 1:1 sessions with external professionals and mental unload workshops.
- 30 vacation days, sabbatical, and unpaid leave option.
- Relocation support with service provider (visa, administration, etc.).
- Dog-friendly offices.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
MOIA GmbH
MOIA GmbH is a subsidiary of the Volkswagen Group with offices in Berlin and Hamburg. It offers environmentally friendly ridepooling services and works on innovative solutions for autonomous mobility. The international team focuses on AI, software, hardware, and embedded systems for urban transportation systems.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier
Senior Data Platform Engineer
- Location
- Hamburg, Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
