# Senior Data Platform Engineer (all genders) - Data Lake Platform at MOIA GmbH

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Enable internal teams to access and extr

- **Company:** MOIA GmbH (https://jobs.trythestack.co/companies/moia-gmbh)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, AWS, Data engineering, Infrastructure as Code, Terraform, CDK, CI/CD, Containers, Amazon SageMaker, Amazon Kinesis, Amazon Data Firehose, AWS Lambda, Apache Iceberg, Parquet, SQL, Data governance
- **Posted by employer:** 2026-08-03
- **Added to The Stack:** 2026-08-03
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.eu.greenhouse.io/moia/jobs/4943270101 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-platform-engineer-all-genders-data-lake-platform-moia-gmbh

## About the role

Responsibilities:
- Enable internal teams to access and extract value from company data using platform tools and automation.
- Govern and provision Amazon SageMaker Unified Studio for teams to work independently.
- Build, operate, and optimize AWS serverless data infrastructure (S3, Lambda, Kinesis, Data Firehose, etc.).
- Design and maintain event-driven ingestion pipelines and ensure availability, scalability, security, and privacy compliance.
- Provide tooling, documentation, monitoring, and operational ownership for services you build.
- Mentor colleagues, share best practices, and drive platform adoption.

Requirements:
- Strong Python programming skills; familiarity with TypeScript/Java or JVM languages is a plus.
- Hands-on experience with cloud-native AWS services and deploying via IaC (CDK or Terraform).
- Solid DevOps foundations: CI/CD, containers, monitoring, and alerting.
- Working knowledge of table/data formats (Apache Iceberg, Parquet, Protobuf) and data pipelines.
- Practical experience applying AI in data contexts to automate tasks and accelerate development.
- Nice-to-have: exposure to data governance/GDPR, SQL across analytical/transactional DBs, Airflow, and data APIs.

## Responsibilities

You will build and maintain scalable data infrastructure while enabling internal teams to access and process data efficiently. This involves governing tools like Amazon SageMaker and optimizing event-driven ingestion pipelines.

## Requirements

The role requires strong Python programming skills and extensive experience with cloud-native environments, specifically AWS. Candidates should have a solid DevOps foundation and familiarity with data formats like Apache Iceberg or Parquet.

## FAQ

- **Is this Senior Data Platform Engineer (all genders) - Data Lake Platform  role still open?** It was posted on 2026-08-03. Listings more than 30 days old may no longer be active, so check MOIA GmbH's site before applying.
- **Does MOIA GmbH offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on MOIA GmbH's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, AWS, Data engineering, Infrastructure as Code, Terraform, CDK, CI/CD, Containers, Amazon SageMaker, Amazon Kinesis, Amazon Data Firehose, AWS Lambda, Apache Iceberg, Parquet, SQL, Data governance.

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