ironquill.tech/board

$ cat jobs/data-engineer-metgroup-c135f87fd4db.json

Data Engineer

Metgroup·Worldwide·Budapest, HU·mid
data engineering
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MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi‑commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets. The Group is represented in 24 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Greece, Hungary, Italy, North Macedonia, Moldova, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine. MET is present in 33 national energy markets and 51 international trading hubs. The Group has a significant end‑consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands. The company has 1400+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation *. * Listed on the Singapore Exchange PURPOSE OF THE POSITION The Data Engineer is responsible for the maintenance and the improvement of all the data flows in the data analytics platform(s). The Data Engineer designs and develops scalable ELT packages and routines from the source systems in order to create information (datasets), defining and building the data pipelines. The Data Engineer additionally analyzes complex data models and IT Applications, data flows, dependencies and relationships in order to contribute to conceptual physical and logical data models. Moreover, the Data Engineer acts as architect of the Data & Analytics platform defining the logical data model and the physical data model(s). He/She also keeps up with industry trends and best practices, advising the management on new and improved data engineering strategies. Main responsibilities Define the optimal architecture of the Data & Analytics platform enabling the availability and re-usability of all required data for the creation of analytics products Manage and monitor data pipelines to source and tr

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