Senior Data

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Limburg, Flanders, Belgique Koda Tech Temps plein

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pWe’re looking for a bSenior Data AI Engineer /b to take ownership of building a modern data foundation from the ground up and developing AI and Machine Learning capabilities on top of it. /p pThis is a genuine bfounding Data AI role /b. You’ll have the opportunity to define the architecture, governance and technical direction rather than simply maintaining an established platform. /p h3The Role /h3 pYou’ll take ownership of centralising and structuring data within bDatabricks /b, creating the foundations needed for analytics, Machine Learning and future Generative AI use cases. /p pYou’ll combine technical leadership with hands‑on engineering, working closely with engineering teams, tech leads, product, operations and compliance. /p h3What You’ll Be Doing /h3 ul liDesign and build the company's data lake architecture and pipelines /li liEstablish bDatabricks /b as the central data platform /li liDesign and implement bMedallion Architecture /b /li liEstablish data governance using bUnity Catalog /b and bDelta Lake /b /li liBuild reliable data pipelines, schema designs and automated data-quality processes /li liDevelop predictive bMachine Learning /b models and AI-driven use cases /li liPrepare data infrastructure for bGenerative AI /b, including RAG, AI agents and LLM fine‑tuning /li liHelp transform operational data into useful product and customer insights /li liDefine the wider technical vision for Data AI while remaining hands‑on with implementation /li liWork with stakeholders across technical and non‑technical teams /li /ul h3What We’re Looking For /h3 pbEssential: /b /p ul liStrong experience with bDatabricks /b /li liHands‑on experience with bUnity Catalog /b and bDelta Lake /b /li liStrong understanding of data governance within data lake environments /li liExperience building Medallion Architecture and data pipelines /li liStrong bPython /b and bSQL /b skills /li liExperience with schema design and automated data quality /li liExperience using data for bAI and Machine Learning /b use cases /li liFamiliarity with cloud‑based data platforms /li /ul pbNice to have: /b /p ul liExperience with bLLMs /b /li liLLM fine‑tuning experience /li liExposure to bRAG /b and AI agents /li /ul h3The Person /h3 pThis role suits someone who enjoys bownership and building from scratch /b. You should be comfortable setting technical direction while still getting involved directly with the engineering work. /p pYou’ll need to be solution‑oriented, comfortable receiving feedback and confident communicating across different teams and departments. /p h3Why Join? /h3 pYou’ll have the chance to put bData AI on the map within an aviation technology environment /b. /p pRather 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. /p pbThe big attraction: /b you’re not joining someone else's finished data platform. You’re getting the opportunity to build it. /p

Senior Data

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