Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Part Time/Full Time
- Contract Type
- Temporary employment
- Location
- Hamburg, Potsdam, Würzburg, Essen, Landshut, Hanover
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop machine learning models for optimizing predictive maintenance, manage ETL pipelines in Databricks, and handle monitoring and quality assurance of ML solutions.
Job Technologies
Your role in the team
- Do you want to generate added value through data in productive solutions? With us, you will be part of an agile product team working on the further development and operation of a machine learning solution that optimizes the management and maintenance of assets in network business through data.
- In your role, you develop, stabilize, and operate a productive AI/Machine Learning product, including monitoring, in the field of Predictive Maintenance.
- You actively contribute to feature engineering, retraining, evaluation, and quality assurance of ML models.
- You will be responsible for the maintenance and optimization of ML and data pipelines in Databricks, including jobs, workflows, cluster management, and error analysis.
- You will further develop existing data processing pipelines, especially with Python, PySpark/Spark SQL, Delta Lake, as well as SAP/GIS data sources, REST interfaces, and SQL databases.
- In close coordination with the Fachbereich, IT, Data Science, and Operations, you ensure proper documentation and traceable handovers.
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Our expectations of you
Education
- You have a completed university degree in a quantitative discipline such as Data Science, AI, Computer Science, Mathematics, or Physics, or an equivalent qualification.
Qualifications
- You are familiar with cloud-native data platforms, preferably Azure, Delta Lake, Unity Catalog, Blob Storage, and SQL databases.
- You have experience with touchpoints of Machine Learning, such as feature engineering, model evaluation, or retraining, as well as a fundamental understanding of technical operational aspects.
- You work in a structured manner, take responsibility for your own tasks, and are able to communicate technical issues clearly.
- Very good German skills (C1) as well as good English skills in speaking and writing complete your profile.
Experience
- Excellent practical skills in Python as well as PySpark/Spark SQL distinguish you, ideally with experience in the production deployment of Databricks.
- You have already gained experience in building, operating, and developing ETL/ELT pipelines, preferably with SAP/GIS data, REST APIs, or external SQL databases.
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What we offer
- The position is limited until December 31, 2027.
- Flexible working hours, 37-hour workweek, and 30 days of vacation, combining home office and on-site presence.
- Travel time is considered paid working time with us.
- Parental leave for mothers and fathers is completely normal for us.
- We offer numerous internal health programs, a high-quality canteen with discounted meal prices, and access to the family service (e.g., support in finding childcare options).
- Utilize 'Workation' and work up to 20 days per year from abroad within Europe.
- Attractive tariff-based remuneration - Christmas bonus - Performance-based pay - Asset-building benefits - Company pension scheme - A globally valid group accident insurance.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
- 🏖️Workation
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- ⏸Educational Leave/Sabbatical
- 🏠Home Office
- ⏰Flexible Working Hours
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
E.ON
At E.ON, we are committed to making the energy world more efficient and intelligent. Through innovative customer solutions and unique energy networks, we can improve the quality of life for people around the world. Our headquarters is in Essen, from where we coordinate our international activity.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.3
Culture
3.5Workingconditions
4.0Career Growth
3.2Engineering
2.7
Machine Learning Engineer - Predictive Maintenance & MLOps
- Location
- Hamburg, Potsdam, Würzburg, Essen, Landshut, Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
