Data Analytics Engineer

Project overview

Key Data:

Role: Data Analytics Engineer

Period: asap until 31.12.2027

Utilization: Full-time

Project details

mainly remote & on-site as needed nationwide

Service Description

We are looking for support in building, operating, and further developing an IT service for simulation-based prediction of the operational readiness of large military equipment.

The goal of the project is to predict the future operational readiness of selected large equipment and to sustainably improve their availability through central storage, preparation, and analysis of technical and logistical data, as well as the use of simulation-based prediction methods.

The focus is on scaling and functional further development of an existing, containerized microservice application, which has already been prepared and tested for operation on a cloud platform.

Qualification and Experience Requirements

Must-haves

Have we sparked your interest?

Then send us your CV in Word format and your current availability, including your hourly rate, to:

anna.puskaric AT deedcon.de

Sincerely

• Completed university degree in Data Analytics, Mathematics, Statistics, or a comparable training or qualification
• At least 5 years of experience with ETL/ELT processes and workflows, especially MinIO, Apache Airflow, Apache Iceberg, and Trino
• At least 5 years of experience with Python in data analysis and data processing, especially Plotly, Matplotlib, Seaborn, Dash, Jupyter, PySpark or Flink as well as Pandas, NumPy, SciPy, and Statsmodels
• At least 5 years of experience in statistical data analysis, especially descriptive and inductive statistics, exploratory data analysis, pattern and trend detection, and statistical validation of test results
• At least 3 years of experience in Python-based application development with FastAPI, Django, Flask, and other data analysis libraries
• At least 3 years of experience in Machine Learning, especially Anomaly Detection and Feature Engineering
• At least 3 years of experience with relational databases such as PostgreSQL, Oracle, or MySQL, including SQL, schema definition, and performance tuning
• At least 3 years of experience with agile working methods, especially Scrum or Kanban, Definition of Ready/Done, and acceptance criteria
• At least 3 years of experience with Big Data processing frameworks such as Apache Spark or Flink
• At least 3 years of experience with build automation and CI/CD pipelines, especially GitLab CI/CD
• At least 3 years of experience in data visualization and data exploration, for example with Apache Superset
• At least 3 years of experience with software quality assurance, especially code reviews, Clean Code, SOLID, SonarQube, and linters
• At least 1 year of experience in Linux system administration, especially Bash, top, grep, git, and ps
• At least 1 year of experience with container technologies, especially container operation, image creation, Podman, Kubernetes, and Kubespray
• Start: ab sofort
• Duration: 3 Monate
• Remote: remote
• Location: Bonn, Berlin, München, Frankfurt, Deutschland, DE
• Languages: German