# (Senior) Data Engineer (m/f/x) at Scalable GmbH

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> Responsibilities: - Design, build and operate scalable, clou

- **Company:** Scalable GmbH (https://jobs.trythestack.co/companies/scalable-gmbh)
- **Location:** Berlin, Germany
- **Work arrangement:** Hybrid
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** AWS, SQL, Python, Terraform, PySpark, Airflow, Kafka, Kinesis, Flink, Spark Streaming, dbt, Data Modeling, Cloud Networking, Cloud Security, Data Pipeline Design, Infrastructure as Code
- **Posted by employer:** 2026-07-20
- **Added to The Stack:** 2026-07-21
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.smartrecruiters.com/ScalableGmbH/744000138627169--senior-data-engineer-m-f-x- (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-mfx-scalable-gmbh

## 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.

## FAQ

- **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.

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