(Senior) Data Engineer (m/f/x) at Scalable GmbH
May no longer be active — verify on the employer site
At a glance
- Company
- Scalable GmbH
- Location
- Berlin, Germany
- Work arrangement
- Hybrid
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Scalable GmbH job
- 🏢 Scalable GmbH has 242 jobs here, 240 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask Scalable GmbH if it is above the minimum.
Updated 2026-11-06, from our data and official sources.
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About the role
Responsibilities:
- Design, build and operate scalable, cloud-based data pipelines and a lakehouse on AWS to support analytics, regulatory reporting and AI use cases.
- Ingest and integrate data from internal services and third parties, transform and prepare structured/unstructured data for downstream use.
- Develop high-quality data models, ETL/ELT workflows and implement testing, monitoring and alerting to guarantee data reliability.
- Collaborate with product, analytics and engineering teams to enable data-driven decisions and deliver production-ready datasets.
- Maintain and evolve data platform tooling, automation and best practices.
Requirements:
- University degree in computer science, mathematics or related field and significant hands-on data engineering experience.
- Strong experience with AWS data services and building pipelines (Python, SQL, PySpark) and familiarity with dbt.
- Proven skills with orchestration and infra tooling (Airflow/Dagster, Terraform) and streaming tech (Kafka/Kinesis/Flink/Spark Streaming).
- Solid understanding of data modeling, observability and testing practices for production data systems.
Responsibilities
Develop and maintain a scalable, cloud-based data platform and robust pipelines to support regulatory reporting and analytics. Collaborate with cross-functional teams to design high-quality data models and implement monitoring components for data reliability.
Requirements
Requires a university degree in a technical field and significant experience in data engineering, specifically with AWS services and Python. Proficiency in SQL, Infrastructure as Code (Terraform), and experience with data streaming technologies is highly valued.
Key skills
- AWS — in 807 other listings on The Stack
- SQL — in 552 other listings on The Stack
- Python — in 1211 other listings on The Stack
- Terraform — in 475 other listings on The Stack
- PySpark — in 43 other listings on The Stack
- Airflow — in 96 other listings on The Stack
- Kafka — in 174 other listings on The Stack
- Kinesis — in 8 other listings on The Stack
- Flink
- Spark Streaming
- dbt
- Data Modeling
- Cloud Networking
- Cloud Security
- Data Pipeline Design
- Infrastructure as Code
On The Stack (as of 2026-11-06)
Frequently asked questions about Scalable GmbH
Is this (Senior) Data Engineer (m/f/x) role still open?
It was posted on 2026-07-20. Listings more than 30 days old may no longer be active, so check Scalable GmbH's site before applying.
Does Scalable GmbH offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Scalable GmbH's site.
Where is this role located?
The listing gives the location as Berlin, Germany. It is marked hybrid.
What skills does this role ask for?
The listing names: AWS, SQL, Python, Terraform, PySpark, Airflow, Kafka, Kinesis, Flink, Spark Streaming, dbt, Data Modeling, Cloud Networking, Cloud Security, Data Pipeline Design, Infrastructure as Code.