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Senior data (españa)

Hexagon Geosystems
Publicada el 14 junio
Descripción

As the general leader in measurement technologies, we provide the confidence that vital industries rely on to build, navigate, and innovate. From microns to Mars, our solutions drive productivity, quality, safety, and sustainability across aerospace, agriculture, automotive, construction, manufacturing, and mining. We bridge the physical and digital worlds with cutting-edge metrology, reality capture, and positioning solutions – making industries and cities safer, smarter, and more sustainable. Hexagon's Geosystems division specifically focuses on combining accurate measurement, positioning, and mapping technologies with industry-tailored workflows to help geodata-dependent industries capture, visualise, and analyse the physical world, turning data into actionable insights for better decision-making and improved efficiency.
¿When it has to be right, it has to be Hexagon. We are looking for a Senior IT Application Engineer who is passionate about shaping the future of analytics. You will play a key role in our exciting journey from SAP BW to a modern analytic data platform based on Microsoft Fabric
Drive the transition from legacy systems to cutting-edge data solutions.
Take ownership in interesting projects.
Strong experience in IT application engineering and data analytics platforms.
Familiarity with SAP BW and/or Microsoft Fabric is a plus.
Design, develop, and optimize end-to-end data solutions using Microsoft Fabric.
Build and maintain data ingestion, transformation, and modelling pipelines.
Develop automation scripts, ETL workflows, and data transformation processes using Python.
Write and optimize SQL queries, stored procedures, and perform query performance tuning.
Work with Data Lakes, Data Warehouses, and Lakehouse architectures.
Collaborate with cross-functional teams (business, analytics, SAP teams) to gather and implement data requirements.
Work on data extraction and integration scenarios with SAP S/4HANA (Good to Have).
Experience with modern data struc

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