Senior Data & AI Engineer

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

We’re looking for a Senior Data & AI Engineer to take ownership of building a modern data foundation from the ground up and developing AI and Machine Learning capabilities on top of it.

This is a genuine founding Data & AI role. You’ll have the opportunity to define the architecture, governance and technical direction rather than simply maintaining an established platform.

The Role

You’ll take ownership of centralising and structuring data within Databricks, creating the foundations needed for analytics, Machine Learning and future Generative AI use cases.

You’ll combine technical leadership with hands‑on engineering, working closely with engineering teams, tech leads, product, operations and compliance.

What You’ll Be Doing

• 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

What We’re Looking For

Essential:

• 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

Nice to have:

• Experience with LLMs
• LLM fine‑tuning experience
• Exposure to RAG and AI agents

The Person

This role suits someone who enjoys ownership and building from scratch. You should be comfortable setting technical direction while still getting involved directly with the engineering work.

You’ll need to be solution‑oriented, comfortable receiving feedback and confident communicating across different teams and departments.

Why Join?

You’ll have the chance to put Data & AI on the map within an aviation technology environment.

Rather than inheriting a finished data platform, you’ll shape how data is structured, governed and used across the organisation. You’ll work with global operational aviation data and have scope across Data Engineering, Machine Learning and Generative AI.

The big attraction: you’re not joining someone else's finished data platform. You’re getting the opportunity to build it.