Required skills
- Python
- Pandas
- NumPy
- PySpark
- Apache Flink
- Jupyter
- Apache Iceberg
- Apache Airflow
- Trino
- MinIO
- ETL
- ELT
- Machine Learning
- Anomaly Detection
- Feature Engineering
- Relational Databases
- CI/CD
- GitLab
- Data Analytics
- Statistics
- Big Data
Nice to have:Apache SupersetAgile MethodologiesLinux AdministrationKubernetes
Languages: German
Job description
We are looking for a Data Analytics Engineer for a client project to develop and operate applications on a cloud-based Data Analytics & Big Data platform. The role involves centralizing, preparing, and analyzing cross-domain data sources, as well as ensuring CI/CD processes and automation.
Project overview
We are looking for a Data Analytics Engineer for a project with our client.
Responsibilities
- Further development and operation of applications on a cloud-based Data Analytics & Big Data platform (PaaS), including interface connection
- Centralization, preparation, and analysis of cross-domain data sources
- Ensuring CI/CD processes, image deployment, and automation
Requirements
- Degree in Data Analytics, Mathematics, Statistics, or equivalent
- Profound experience with Python and relevant data analytics technologies, especially Pandas, NumPy, PySpark/Flink, Jupyter, and visualization frameworks
- Profound experience with ETL/ELT processes and technologies such as Airflow, Iceberg, Trino, and MinIO
- Good knowledge of statistics, exploratory big data analysis, and validation of statistical results
- Experience with Machine Learning, Anomaly Detection, and Feature Engineering
- Experience with relational databases and CI/CD pipelines, especially GitLab
Nice to have
- Knowledge of Apache Superset, agile working methods, Linux administration, and Kubernetes
Project details
11/16/26
2+ months
Bonn
- Start: 2026-11
- Duration: 2 Monate
- Remote: hybrid
- Location: Bonn, Deutschland, DE
- Languages: German
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