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Senior Data Engineer (m/w/d)

Hybrid (München) / München / Frankfurt / Berlin / Leipzig / Essen / NürnbergFull-time2020-09-01 → 2026-10-16
Hybrid

Core

Designing and building Big Data/Analytics platforms, developing and scaling data pipelines on cluster architectures, and supporting the Data Science team in operationalizing statistical or AI models.

Role type

Senior Data Engineer

Builds

Big Data/Analytics platforms, data pipelines, data models, and infrastructure for dashboards, API backends, and AI systems

Domain

Cloud Data Engineering

Deliverable

production ML models

Required skills

Python, Scala, Java, Git, Cloud platforms (Azure/AWS/GCP), relational databases (MySQL/PostgreSQL), data modeling, Databricks, Snowflake, OpenTable formats (DeltaTable, Iceberg, Hudi), project leadership

Preferred skills

None stated

Technologies

Azure, AWS, GCP, Databricks, Snowflake, MySQL, PostgreSQL, Git, Python, Scala, Java

Responsibilities

Conceptualizing and building Big Data/Analytics platforms, selecting technologies for Data Analytics Use Cases in complex Cloud environments, developing and scaling data pipelines on Cluster architectures, assessing data quality and performing transformations, designing and implementing data models, providing data in storage technologies for various applications, setting up infrastructure, applications, and DevOps workflows using IaC and CI/CD, supporting the Data Science team in development, deployment, and operationalization of models, project organization

Seniority

Senior, hands-on IC