Job
- Level
- Senior
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare Dateninfrastrukturen in AWS, optimierst Datenpipelines mit Kinesis und Lambda und unterstützt andere Teams bei der Nutzung von Amazon SageMaker Unified Studio.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- Familiarity with orchestration frameworks for data pipelines, such as Apache Airflow.
Erfahrung
- 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.
Unser Angebot
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
MOIA GmbH
Die MOIA GmbH gehört zum Volkswagen-Konzern und hat Büros in Berlin und Hamburg. Sie bietet umweltfreundliche Ridepooling-Dienste an und arbeitet an innovativen Lösungen für autonome Mobilität. Das internationale Team beschäftigt sich mit KI, Software, Hardware und Embedded Systems für städtische Verkehrssysteme.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer
Senior Data Platform Engineer
- Ort
- Hamburg, Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
