Founding Data & AI Engineer for Generative ML

Koda Tech; Limburg; On-site; EUR 90,000 - 130,000; Full time

Job summary

Koda Tech is seeking a Senior Data & AI Engineer to own the data foundation from scratch and build AI/ML capabilities on top. This founding role lets you define architecture, governance and technical direction rather than maintain an existing platform.

You’ll centralise data in Databricks, establish a scalable data lake, and work hands-on with engineering, product, operations and compliance to shape the future of Data & AI across the business.

Qualifications

• Strong experience with Databricks.
• Hands-on experience with Unity Catalog and Delta Lake.
• Strong understanding of data governance within data lake environments.
• Experience building Medallion Architecture and data pipelines.
• Strong Python and SQL skills.
• Experience with schema design and automated data quality.
• Experience using data for AI and Machine Learning use cases.
• Familiarity with cloud-based data platforms.

Responsibilities

• Design and build the company's data lake architecture and pipelines
• Establish Databricks as the central data platform
• Design and implement Medallion Architecture
• Establish data governance using Unity Catalog and Delta Lake
• Build reliable data pipelines, schema designs and automated data-quality processes
• Develop predictive Machine Learning models and AI-driven use cases
• Prepare data infrastructure for Generative AI, including RAG, AI agents and LLM fine‑tuning
• Help transform operational data into useful product and customer insights
• Define the wider technical vision for Data & AI while remaining hands‑on with implementation
• Work with stakeholders across technical and non‑technical teams

Skills

Databricks

Medallion Architecture

Python

SQL

Data governance

Cloud platforms

Tools

Unity Catalog

Delta Lake

Job description

Koda Tech is seeking a Senior Data & AI Engineer to own the data foundation from scratch and build AI/ML capabilities on top. This founding role lets you define architecture, governance and technical direction rather than maintain an existing platform.

You’ll centralise data in Databricks, establish a scalable data lake, and work hands-on with engineering, product, operations and compliance to shape the future of Data & AI across the business.