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

at  EON

E.ON Digital Technology GmbH | Permanent | Part or Full time
This is your opportunity to become a member of our Technology Consulting division within E.ON’s 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.
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 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

• 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