Start: October 6, 2025
End: December 31, 2025 + Option
Location: Remote & Frankfurt am Main (Onshore, only a few onsite days)

As part of an infrastructure program, a data engineer is sought to further develop an AWS-based data and analytics platform. The goal is the efficient preparation, processing, and visualization of maintenance and operational data to manage KPIs such as availability, quality, and efficiency. The work will be carried out in an agile Scrum team with three-week sprints.

Tasks:
– Development of data pipelines for ingesting, processing, and delivering data
– Modeling and optimizing data models for relational and non-relational data
– Integration of data from various sources
– Implementation of data governance and security policies
– Optimization of data processing processes (e.g., performance, scalability)
– Development of interactive dashboards and reports in Power BI
– Automation of recurring data processes
– Conducting ad-hoc analyses and plausibility checks
– Documentation in Confluence, code management in GitLab

– At least 3 years of experience with serverless data processing and integration (e.g., AWS Glue, AWS Lambda)
– At least 1 project experience in implementing reports and dashboards with Power BI
– At least 3 years of project experience in data engineering in the AWS cloud in an enterprise environment
– ​​At least 2 reference projects with Apache Spark, AWS SageMaker, or Python
– At least 2 reference projects in automated processing of geodata (e.g., PTV Visum, OpenStreetMap, Python)

– Practical experience with connecting and processing maintenance data (30%)
– Very good SQL knowledge (at least 3 years of experience, 30%)
– Knowledge of machine learning and MLOps (20%)
– Proven knowledge of data engineering or data science (20%)

The mund consulting team looks forward to receiving your application—please include a current CV, availability, hourly rate, and project references.
Best regards,
Thomas Mund
, post@mund-consulting.de

Edited 18.09.25

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