Senior Data Engineer (m/f/d)
Summary
Senior Data Engineer in Munich who builds scalable data platforms, data warehouses, and advanced RAG pipelines powering the company's AI product, while mentoring engineers and improving data ingestion/QA. Core stack includes Azure/AWS/GCP, PySpark or Kafka, Redshift/Snowflake, and LLM tooling (RAG, fine-tuning, RLHF).
In this role, you will build scalable data platforms and advanced RAG pipelines powering our AI product. You’ll collaborate with AI engineers and cross-functional teams to bring cutting-edge reasoning models to life. You’ll visualize data, mentor peers, and improve data ingestion and QA processes. This position sits at the frontline of integrating AI features into customer-facing products and shaping our data architecture for rapid growth.
Leistungen / Benefits- learning & development budget
- Talent Journey for growth
- flexible working hours
- up to 50% remote work
- Tech Discovery and Discovery Conference
- team buildings and company events
- Build scalable data platforms, data stores/warehouses and RAG pipelines for AI systems
- Collaborate with AI engineers to design and test innovative AI reasoning ideas using our ontology and data
- Visualize data with dashboards and analytics solutions; mentor engineers on data engineering best practices
- Improve QA and data ingestion processes with new tools and frameworks
- Collaborate with stakeholders (AI Engineers, Product Managers, Chief Officers, Software Teams) to integrate AI features into products
- University degree in Computer Science, Software Engineering, Data Science/Engineering or related disciplines
- 4+ years of experience in agile development
- Experience with data engineering for ML/AI production deployment/MLOps on cloud platforms (Azure, AWS and/or GCP)
- Designing architectures for data platforms and data processing pipelines (batch and real-time) using PySpark or Kafka
- Experience with data warehousing services (AWS Redshift, Snowflake), LLM data stores, SQL/no-SQL tools
- Strong analytical and problem-solving skills; comfortable with ambiguity and rapid changes in early-stage product development
- Experience with AI tools and LLM providers; implementing advanced RAG pipelines (e.g., GraphRAG); multi-agent architectures; ML model training; LLM fine-tuning; RLHF
- Excellent verbal and written English communication; cross-functional collaboration
- analytical thinking
- adaptability to ambiguity
- effective communication
- Azure/AWS/GCP cloud platforms
- PySpark
- Kafka
