Senior Data Engineer (m/f/d)

ENERCON; Aurich; Hybrid; EUR 75.000 - 95.000; Vollzeit

Zusammenfassung

A leading wind power technology company in Germany seeks a Senior Data Engineer (m/f/d) to develop hybrid data architecture, collaborate with data scientists, and ensure data governance. Candidates should hold a Master’s degree or PhD with substantial experience, strong programming skills, and familiarity with MLOps. This role includes various benefits, including flexible working hours and significant mobile work opportunities.

Leistungen

95% mobile working opportunity

30 days paid vacation

Flexible working hours

Training opportunities

Company pension scheme

Private occupational disability insurance

Fitness support

Varied activities in wind energy sector

Qualifikationen

• 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 (C#, Java).
• Valid work permit for Germany or Netherlands.

Aufgaben

• Develop and manage hybrid data architecture across Azure and on-prem environments.
• Collaborate with data scientists to deploy scalable machine learning solutions.
• Ensure data governance, orchestration, and automation using tools like Airflow, GitLab, and Azure DevOps.

Kenntnisse

Python

Object-oriented design (C#, Java)

Linux

Shell scripting

Docker

Kubernetes

SQL

REST

Kafka

Spark

Flink

MLOps tools (MLflow)

Ausbildung

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

PhD in Computer Science, Engineering, 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)

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]