(Senior) Data Engineer Data & AI - Expert Services (f/m/d)
E.ON
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Locations: Berlin (Berlin), Hanover (NDS), Würzburg (BY), Munich (BY), Essen (NRW)
Job description
Do you love data and technology? Do you think we all need to become more sustainable? Are you ready to drive and boost the green energy transition? Then this is the right job for you. Your energy shapes the future! Being aware of the enormous responsibility we have for our customers, our assets, and the environment, we are analyzing and developing solutions, utilizing advanced big data and machine learning technologies to provide the best service, improve the efficiency and make things smarter, better, and cleaner.
What you are responsible for
- You team-up with our scientists, business and infrastructure experts to design data solutions that have global impact and scale to all E.ON countries
- You build and maintain efficient and scalable data pipelines that ensure data quality, accuracy, and reliability
- You stay up to date with emerging technologies and industry trends and apply this knowledge to continuously improve our data pipelines
- You ensure high quality and stability through agile processes and peer code reviews
- You share your ideas and convince to go new ways
What you are good at
- You should have a bachelor’s degree in computer science or a related field
- You should have at least 2 years of experience in data engineering, at least 5 for a senior position
- You have good or excellent knowledge with Microsoft Azure
- You have a good understanding and knowledge of Python programming language, its concepts, and its associated frameworks
- You have experience in designing, building, and maintaining data pipelines using tools such as Azure Data Factory and Databricks
- You should have experience with software development best practices, including version control, continuous integration, and continuous deployment (CI/CD), monitoring, automation, and testing
- You should have experience in Infrastructure-as-a-Code as well as building secure cloud architectures
- Ideally you have experience working with data lakes and its concepts
- Ideally you have a strong understanding of SQL and NoSQL databases
- Experience with Kubernetes and containerization is a plus
- Finished Azure Certifications are a plus
- Ideally you have already experience with machine learning (data preprocessing, feature engineering, model training, model selection)
- Excellent writing and communication skills, considering varying levels of precision and matching the audience
- Fluent in English; German language skills are seen as a plus
What you can expect from a Career in E.ON Digital Technology
We offer the unique opportunity to combine your love for technology with your passion to work on a topic of high relevance for society. You will be able to contribute to E.ON’s ambitious digitalization strategy, to apply and broaden your expertise on a variety of assignments, to work with cutting edge technology and to have the opportunity to grow your career internationally across the wider organization.
Inclusion
It is important to us that people with disabilities have access to a fair application process, providing them with an opportunity to shine. Therefore, our representative body for severely disabled people will be included in the process from an early stage. Please let us know via the application form if you require technical or organisational adjustments during the application process. We will strive to make the required aids available.
Should you not be able to apply online and want to speak someone in person, please contact your local recruiter.
What else you should know:
Type of contract: | Permanent contract |
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Employment type: | Full time |
Work Model: | Hybrid |
Company: | E.ON Digital Technology GmbH |
Job number: | 227845 |
As long as the position is advertised on our careers page, we are looking for suitable candidates (f/m/d). We look forward to receiving your application!
This job is no longer accepting applications
See open jobs at E.ON.See open jobs similar to "(Senior) Data Engineer Data & AI - Expert Services (f/m/d)" Imagine.