Senior Data Engineer (m/f/d)

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.

• 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