
Data and AI/ML Engineer – m/f/d
sedevo IT Consulting GmbH
full-time
Posted on:
Location Type: Remote
Location: Germany
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About the role
- Supports the entire development lifecycle: from requirements gathering through architecture and implementation to production operations.
- Develops in interdisciplinary teams with clients, colleagues and partners.
- Designs and implements scalable Data Lakehouse solutions (e.g., on Databricks).
- Works closely with business and IT stakeholders, translating requirements into data models, pipelines and architectures.
- Develops, integrates and architecturally designs tailor-made AI applications to automate processes and increase efficiency.
- Plans and implements data platforms and AI workloads in private and hybrid cloud environments.
Requirements
- Proven professional experience.
- Hands-on experience with concepts such as Data Lakehouse, batch and streaming pipelines, automation, orchestration, validation and data modeling — not just in theory but from real projects.
- Relevant experience with Databricks and Apache Spark.
- Experience modeling complex data structures and working with various database technologies.
- Practical experience in developing and integrating AI models, ideally in production systems.
- Solid understanding of how to operate AI applications in private cloud environments.
- Familiarity with topics such as Explainable AI, agent systems, AI in data engineering, digital sovereignty, and Data/AI governance and compliance.
Benefits
- Fully remote possible — occasional visits to Stuttgart or Leipzig.
- Work without the rigid structures of a large corporation.
- Opportunity to take on responsibility quickly.
- Active involvement in shaping and further developing our business unit.
- Friendly working atmosphere.
- Home office.
- Subsidized public transport pass (JobTicket) or company bike (Job‑Rad).
- Fitness subsidy.
- Regular company and team-building events.
- A platform to contribute and implement your own ideas.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Lakehousedata modelingbatch pipelinesstreaming pipelinesautomationorchestrationvalidationAI applicationsApache SparkDatabricks
Soft Skills
collaborationcommunicationrequirements gatheringproblem-solvingstakeholder engagement