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(Senior) Data Engineer (m/f/x)

München, BY, de💼 Full-time🗓 2026-06-02 → 2026-07-31

Core

Building and maintaining robust, scalable cloud-based data pipelines and a lakehouse architecture to power analytics, regulatory reporting, and AI use cases for a fintech platform.

Role type

Senior Data Engineer (AWS)

Builds

Scalable AWS data processing solutions, data lakehouses, and high-quality data models.

Domain

Fintech / Financial Services / Cloud Data Engineering

Deliverable

production ML models | infrastructure

Required skills

AWS data services (S3, Athena, DMS, Glue), SQL (advanced), Python, Infrastructure as Code (Terraform), data pipeline design, data modeling, testing and monitoring, data streaming concepts.

Preferred skills

dbt, Airflow, PySpark, Kafka, Kinesis, Flink, Spark Streaming.

Technologies

AWS, Terraform, Python, SQL, dbt, Airflow, PySpark, Kafka, Kinesis, Flink, Spark Streaming, S3, Athena, DMS, Glue.

Responsibilities

Design and implement testing and monitoring components for data pipelines; prepare and clean structured and unstructured data; develop high-quality data models for reporting and AI; shape AWS-based data processing solutions; extend the data lakehouse for regulatory use cases.

Seniority

Senior, hands-on IC

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