Data Analytics Engineer

Project overview

At virtual7, we combine our technological expertise with a deep understanding of our clients' needs. Through tailor-made solutions, we create real added value for our framework contract partners in public administration. We are currently looking for a Data Analytics Engineer (m/f/d) for one of our clients.

YOUR MISSION

At our client's site, in addition to central data storage and a data analysis platform with current software tools for analysis, a simulation-based forecasting capability for future-oriented usage control is being developed.

• Project location: Bonn
• Period: November 16, 2026 to December 31, 2026
• Work mix: 30 days remote / 4 days on-site
• Important: Remote work only possible within Germany
• Important: Project language in German
• Important: Willingness for SÜ2 security clearance according to § 9 SÜG (classified/sabotage protection)
• Extension possible until June 30, 2027 (100 person-days remote / 10 days on-site)

Responsibilities

MUST-HAVES FOR THIS POSITION

Statistical validation of test results

If you are interested and currently have free capacity, we look forward to your application. Our recruiting team with Alicja Okuniewicz, Anna-Lena Röcker, Jörg Becker – looks forward to talking with you.

Please send your profiles/CV in WORD format.

Please ensure your experience is evident and highlighted.

Thank you very much for this.

virtual7 Recruiting Team

Mail: *@*.de

JobLink: https://virtual7jobs.recruitee.com/o/data-analytics-engineer-mwd

• Ensuring and further developing the application on the fundamentally enabled cloud
• Working with PaaS for Data Analytics and Big Data Platform
• In the context of various domains, existing data sources are centralized, aggregated, prepared, and analyzed
• Building and operating essential application components
• Ensuring deployment processes CI/CD, image ordering and provisioning, automation
• Connecting interfaces and using the application for analytical tasks
• Completed degree in Data Analytics, Mathematics, Statistics, or comparable qualification
• min. 5 years of experience with Python, plotly/matplotlib/seaborn, Dash, Jupyter, PySpark or Flink, Pandas, Numpy, SciPy, Statsmodels
• min. 5 years of experience with ETL/ELT processes/workflows, MinIO, Apache Airflow, Apache Iceberg, Trino
• min. 5 years of experience with Descriptive and Inferential Statistics, Exploratory Data Analysis for pattern and trend detection in mass data,
• min. 3 years of experience in Machine Learning, Anomaly Detection, Feature Engineering
• min. 3 years of experience with relational DBs, PostgreSQL, Oracle, MySQL
• min. 3 years of experience with agile working methods, Scrum, Kanban
• min. 3 years of experience with Big Data Processing Frameworks
• min. 3 years of experience in build automation CI/CD pipelines, GitLab Pipelines
• min. 3 years of experience in data visualization, exploration, Apache Superset
• min. 6 years of experience in application of software quality assurance principles, code review, clean code, SOLID, static code analysis
• min. 1 year of experience in Linux System Administration
• min. 1 year of experience with container technologies Kubernetes

Project details

• Start: 2026-11
• Duration: 2 Monate
• Remote: hybrid
• Location: Bonn, Deutschland, DE
• Languages: German