Senior Data Engineer (m/f/d)

ENERCON; Magdeburg; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading wind energy company in Magdeburg is seeking a Senior Data Engineer to develop and manage hybrid data architecture involving wind industry data. The ideal candidate will have strong programming skills in Python, experience in cloud data solutions, and a passion for agile development. This role offers great flexibility and an extensive benefits package.

Leistungen

Up to 95% mobile working

30 days paid vacation

Flexible working hours

Training opportunities

Company pension scheme

Private occupational disability insurance

Company fitness support

Varied activities in wind energy

Qualifikationen

• Master's degree with at least 5 years of work experience or PhD in relevant field.
• Strong programming skills in Python and experience with object-oriented design.
• Proficiency in Linux, shell scripting, and containerization.

Aufgaben

• Develop and manage hybrid data architecture with wind industry data.
• Collaborate with data scientists on scalable machine learning solutions.
• Ensure data governance and automation using relevant tools.

Kenntnisse

Python

C#

Java

Linux

Docker

Kubernetes

REST

SQL

Kafka

Spark

Flink

MLflow

Ausbildung

Master's degree in Computer Science, Engineering, Natural Sciences or related field

Jobbeschreibung

ENERCON has been one of the technology leaders in the wind power sector for 40 years. As the first manufacturer of wind turbines, the company used a gearless drive concept that is a characteristic of all ENERCON wind turbines. ENERCON is also at the forefront in other areas, such as rotor blade design, control technology, grid connection technology, and with its wide range of technological new developments, proves its innovative strength time and again.

Senior Data Engineer (m/f/d)

Innovative ideas are the hallmark of our successes and move us on. We are passionate about realizing wind energy projects across the globe and meeting tomorrow's energy technology challenges. You and your engagement can make a contribution to shape the future of renewable energies.

Your Tasks

• Develop and manage hybrid data architecture across Azure and on-prem environments with wind industry data – from operational data of wind farms, over digital twin data, towards external wind, market, and GIS data
• Collaborate with data scientists to deploy robust, scalable machine learning solutions
• Define use-case-specific data architectures and contribute to the design of our future data landscape
• Ensure data governance, orchestration, and automation using tools like Airflow, GitLab, and Azure DevOps
• Lead R&D projects in data management and support the full lifecycle of data products – from ideation to operation

Your Qualifications

• Master's degree with at least 5 years of work experience or PhD in Computer Science, Engineering, Natural Sciences, or a related field
• Strong programming skills in Python and experience with object-oriented design (e.g., C#, Java)
• Proficiency in Linux, shell scripting, and containerization (Docker, Kubernetes)
• Experience with data interfaces and query languages (REST, SQL) and processing systems (Kafka, Spark, Flink)
• Familiarity with MLOps tools and practices (e.g., MLflow, model versioning, CI/CD)
• Interest for development of cloud data solutions, especially with DataBricks
• Passion for agile development, clean software engineering, and enabling data-driven innovation
• Valid work permit for Germany or Netherlands

Your Benefits

• Current opportunity for up to 95% mobile working
• Entitlement to 30 days paid vacation per year
• Flexible working hours through appropriate working time models
• Internal and external training opportunities through the ENERCON Academy
• Comprehensive commitment to the company pension scheme
• Private occupational disability insurance at special conditions
• Extensive benefits package with support for company fitness (Hansefit), Corporate Benefits and JobRad
• Exciting and varied activities in the green growth sector of wind energy

Contact Details

Florian Dzengel

[e-mail]