Data Engineer

Key details:
Start date: 1 October 2026
Duration: initially until 31 December 2026
Option to extend: until 31 December 2027
Workload: approx. 400 hours in 2026, with an option to extend to approx. 1,680 hours in 2027
Location: predominantly remote (approx. 80%), with occasional assignments in Hanover or at the client’s premises.

Project background: As part of an AI and machine learning initiative, we are driving forward the further development and support of data-driven solutions for various specialist areas within the social security sector. We are seeking support in the development, optimisation and operation of modern data and AI platforms.

Responsibilities:

• Carrying out data collection, data cleaning and data transformation
• Creating and maintaining dashboards for data visualisation
• Setting up and maintaining data pipelines
• Identifying and testing new areas of application for AI-based solutions

Requirements:

• At least 2 years’ experience with SQL, data transformations, data pipelines and data storage (DB/DWH)
• At least 2 years’ practical experience in software development using Python
• At least 2 years’ experience in developing ETL pipelines
• At least 2 years’ experience in data-driven projects (please specify the project objective of each reference project, your role and the tasks you carried out)
• At least 2 years’ experience in agile development teams
• German language skills at C1 level or higher !!!

Desirable:

• Two years’ professional experience in CI/CD development
• Two years’ professional experience with Jenkins and ArgoCD
• Two years’ professional experience with Argo Workflows
• Two years’ professional experience with Kubeflow or OpenShift AI in a machine learning environment
• Two years’ professional experience with machine learning and the practical application of ML models
• Two years’ professional experience with unit and integration testing
• Two years’ experience in the field of statutory social insurance
• Two years’ project work in a SAFe environment