Lead Data Engineer (f/m/d) Data & AI - Expert Services

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 serve as primary point of contact for the leadership team, mentor other team members and cultivate a culture of continuous learning
• You provide support for projects and initiatives, particularly during the initial setup phase, collaborating with the team to develop a suitable architecture, estimating efforts, and assigning suitable and available Data Engineers
• You feel comfortable leading Data & AI projects in very close collaboration with our internal clients while ensuring high quality and stability through agile processes and peer code reviews and increasing efficiency and time-to-market by implementing re-usable data models, architecture templates, and shippable data products
• You take ownership of technical evaluations of new candidates during the hiring process
• You stay up to date with industry trends and emerging technologies related to data architecture and engineering. Evaluate and recommend new tools, technologies, and methodologies to enhance data management and analysis capabilities

What You Are Good At

• You have 5+ years of professional experience in a data architecture or engineering role leading colleagues functionally or disciplinary and a degree/PhD in Computer Science, or a related technical discipline or other significant work experience and you love mathematics and statistics
• You have extensive knowledge of Azure, AWS and GCP cloud environments, architecture best practices and tools relevant for machine learning / AI use case and massive hands-on experience of Infrastructure-as-Code frameworks, such as Terraform and/or ARM templates
• You have proven experience in ETL processes, data extraction, transformation, and loading with Azure Data Factory, Azure Databricks, and/or Azure Synapse Analytics and experience of DevOps, CI/CD pipelines and deployment best practices
• You have knowledge of Machine Learning frameworks like scikit-learn, Tensor Flow, PyTorch, Azure ML, etc. (including ML interpretability) and excellent programming skills in Python & SQL in general
• You have excellent communication and presentation skills, considering varying levels of precision and matching the audience, fluently in English and German
• Knowledge about the energy industry is considered as 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.ONs 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.

This is your opportunity to become a member of our Technology Consulting division within E.ONs Digital Technology organization. As a partner for our businesses, our division makes a major contribution as an internal professional services organization to accelerate the delivery of E.ONs Digital Transformation Strategy. E.ON is a leading European utility company, playing a key role in shaping the energy transition and connecting everyone to good energy.

If you have a passion for technology and want to make the world a greener place, then become a changemaker (f/m/d) in our energetic and diverse team.

Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post.

What you need to know:
Job Req ID: 226998
Contract type: Permanent
Working time: Part or Full time
Company: E.ON Digital Technology GmbH
Location: München, Hannover, Würzburg, Berlin, Frankfurt am Main, Hamburg, Essen
Function area: Consulting; Data / IoT; IT/Digital