Senior Data Platform Engineer (all genders) - Data Lake Platform at MOIA GmbH
May no longer be active — verify on the employer site
At a glance
- Company
- MOIA GmbH
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this MOIA GmbH job
- 🏢 MOIA GmbH has 15 jobs here, 15 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask MOIA GmbH if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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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.
Key skills
- Python — in 1200 other listings on The Stack
- AWS — in 802 other listings on The Stack
- Data engineering — in 120 other listings on The Stack
- Infrastructure as Code — in 273 other listings on The Stack
- Terraform — in 470 other listings on The Stack
- CDK — in 6 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- Containers — in 9 other listings on The Stack
- Amazon SageMaker
- Amazon Kinesis
- Amazon Data Firehose
- AWS Lambda
- Apache Iceberg
- Parquet
- SQL
- Data governance
On The Stack (as of 2026-11-05)
Frequently asked questions about MOIA GmbH
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.