Lead Cloud Data Engineer - IOT & AI (M/F/D)

• Location

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Bulevardul Dimitrie Pompeiu 6E

20335 Bucharest

• Employment Area

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IT - Development

• Level

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Experienced professionals

• Working Model

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Full-time

• Reference ID

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48155
Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace.

Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group.

Lead Cloud Data Engineer - IOT & AI (M/F/D)

The Impact You Will Create

• You design, implement, and operate the data and cloud infrastructure for our central AI Anomaly Detection Engine
• You build and scale data pipelines optimized for handling high-volume IoT time-series data, specifically focusing on energy metrics, power consumption data and monitoring infrastructure logs
• You select and deploy the most appropriate, lean, and scalable cloud technologies to ensure smooth system performance.
• You collaborate closely with our Data Scientists, acting as the engineering bridge to put their anomaly detection models successfully into cloud production.
• You actively form, lead, and develop our new Core Engineering Team in Bucharest.
• You define a clear technical vision and establish strong local ownership, guiding and mentoring future mid- and junior-level engineers as the team grows.

Experience And Skills You Will Need

• You bring at least 5 years of relevant professional experience in Data Engineering or CloudOps, with clear architectural responsibility.
• You have extensive, practical experience in object-oriented programming (OOP) with Python to build clean and maintainable backend applications.
• You are highly confident in designing data architectures optimized for processing large-scale time-series data (e.g., smart meter data, power consumption logs).
• You have solid knowledge of cloud services and containerization tools (Docker/Kubernetes) to run lean, stable cloud systems.
• You are motivated to work agilely, possess strong communication skills to interact with stakeholders, and have initial experience or a strong drive to lead and form a local technical team.

What happens once you applied?

1

Application

We love simplicity. Apply quickly and easily digitally, even without registration.
2

Checkup

Together with the department, we take a look at your documents.
3

Interview

When you first get to know each other, the focus is on both your personality and your professional suitability.
4

Contract offer

Have we convinced each other? Then your employment contract is on its way to you digitally by e-mail.
5

Welcome

Your first day of work with is about to begin and your individual onboarding in the team begins. We look forward to seeing you!