Senior - Data Engineering (m/w/d) Azure und Databricks

Worldwide | Oct. 19, 2026

Report as Closed

Company: SkelTech GmbH

Country: Worldwide

Type: Onsite

Employment: Unbefristeter arbeitsvertrag

Description:

We are looking for reinforcements for the development, operation and optimization of modern data platforms. In this position, you will develop end-to-end data solutions using Azure and Databricks and work closely with data engineers, analytics teams and departments.

Tasks

You develop, operate and optimize modern data platforms on Azure and Databricks.
You design and implement scalable ETL and ELT pipelines as well as data lake and lakehouse architectures.
You further develop existing data solutions and connect source systems.
You ensure data quality, performance and stability.
You work closely with analytics, BI and business teams.
You will be involved in architectural and technology decisions as well as internal use cases for data ingestion and data preparation.

Qualification

You have completed a degree in MINT or business informatics or have a comparable qualification.
You have three to five years of professional experience in data engineering.
You have designed and implemented end-to-end data solutions, ideally with Databricks and Azure.
You are familiar with data lakehouse architectures, ETL and ELT, streaming and distributed data processing.
You have knowledge of Python, SQL, Apache Spark and Delta Lake as well as experience with Infrastructure as Code and CI/CD pipelines, for example with Terraform.
You work independently and with quality awareness, communicate technical content in an understandable manner and enjoy working with different teams.