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 develop innovative machine learning solutions to optimize asset management in the utility sector, operate and stabilize ML products, and manage data pipelines in Databricks using Python and PySpark.
Job Technologies
Your role in the team
- You are part of an agile product team and work 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 business unit, IT, Data Science, and Operations, you ensure thorough 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 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 spoken and written form complete your profile.
Experience
- Excellent practical skills in Python as well as PySpark/Spark SQL characterize 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
- We offer you a modern working environment with flat hierarchies, agile working methods, and room for new ideas.
- You have a variety of options to shape our corporate culture.
- You will experience a culture of informal address and a collaborative environment based on mutual respect with us.
- We promote autonomous action.
- You have extensive opportunities for personal development.
- We offer you attractive support for part-time and personal further training.
- You have the opportunity to work with the latest technology trends and drive innovation.
- 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.
- Utilize 'Workation' and work up to 20 days per year from abroad within Europe.
- You will receive from us: Attractive tariff-based salary, Christmas bonus, performance-related 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 and MLOps
- Location
- Hamburg, Potsdam, Würzburg, Essen, Landshut, Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
