F&
Data Scientist / Data Engineer (m/w/d)
FEGA & Schmitt Elektrogroßhandel GmbH
flexible Full-time 2w ago
About the role
About Us
Wir handeln! Als kompetenter Partner erleichtern wir den Arbeitsalltag unserer Kunden (vom Elektrohandwerk bis zum Industrieunternehmen) mit unseren vielfältigen Dienstleistungen. So werden Smart Home und eine grüne Umwelt möglich. Gestalte mit uns, einem leistungsfähigen Unternehmen der Würth Gruppe, das spannende Abenteuer der Digitalisierung. Durch unsere modernen Karrierewege brauchst du nicht erst die Karriereleiter hochzuklettern, um deine Erfahrungen, Fähigkeiten und frischen Ideen einzubringen, sondern kannst gleich durchstarten.
Your Role
- Development: You will conceptualize, implement, and continuously develop data and AI-based applications.
- Machine Learning: You will train ML models to solve complex business problems and bring them into production.
- Generative AI & Agentics: You will develop AI applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for use in agentic systems.
- Data Engineering: Conceptualize, develop, and implement robust data pipelines (ETL/ELT) within the Databricks environment.
- Operations & Quality: You will take over the monitoring, scaling, and quality assurance of existing solutions (MLOps/DataOps).
- Collaboration: You will work in close coordination with the business units to translate business requirements into data-driven solutions.
Your Profile
- Education: Completed IT-oriented degree (Computer Science, Business Informatics, Software Engineering, Mathematics, Physics) or equivalent professional experience.
- Platform Expertise: Practical experience with the Databricks Lakehouse platform.
- Tech Stack: Sound programming skills in Python and proficiency in SQL.
- Methodology: Strong analytical skills to structure, analyze data, and derive actionable insights.
- Additional Qualifications (Ideal):
- Experience with Apache Spark (PySpark)
- Knowledge of Infrastructure as Code (e.g., Terraform)
- Experience with GitHub
- Experience in Model Deployment (MLflow) and NoSQL databases
- Visualization skills with tools like Power BI
- Languages: Very good German skills (C1 or higher) and good English skills (B2 or higher).
Our Offer
- State-of-the-art tech stack based on Databricks.
- Freedom for experiments with the latest AI technologies (LLMs, Agents).
- Our digital performance has enabled work-life balance for many years through flexible and family-oriented working time and location arrangements.
- Personal development and career opportunities with growing responsibility in a friendly working atmosphere.
- Flat hierarchies combined with project-oriented work invite the realization of your own ideas in a digital working world.
- Diverse further training opportunities through our academy and beyond.
- Fair compensation and social benefits of a large company, such as holiday pay, Christmas bonus, capital-forming benefits, company pension plan, 30 days of vacation, bonus and incentive system.
- Favorable purchasing conditions for our products, access to corporate benefits.
Skills
PythonSQLDatabricksETLELTGenerative AIInfrastructure as CodeLarge Language ModelsMLOpsMLflowNoSQLPower BIPySparkRAGSparkTerraform
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