{"id":32003,"url":"https://alion.io/job/met-group-data-engineer","title":"Data Engineer","company":{"id":4654,"name":"MET Group","domain":"metgroup.com","url":"https://alion.io/company/met-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":88000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1254},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false}],"status":"live","first_seen_at":"2026-06-26T13:49:26Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-09-27T22:57:21Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":93},"description":"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.\nThe 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.\nMET 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.\nThe 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 *.\n* Listed on the Singapore Exchange\n PURPOSE OF THE POSITION\nThe 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.\nThe 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.\nMoreover, 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.\nMain responsibilities\nDefine the optimal architecture of the Data & Analytics platform enabling the availability and re-usability of all required data for the creation of analytics products\nManage and monitor data pipelines to source and transform data to the Data & Analytics Platform(s)\nIntegrate and transform new data sources (internal and external) by creating a full pipeline from ingestion to ETL process\nDeliver Data Provisioning to operational applications requiring transformation of data from several sources\nOptimize and expand the Data & Analytics platform data flows and data models, supporting in deploying analytics products\nDefine and document detailed Data Engineering processes to guarantee efficient building and support of the data & analytics platform\nAssess the stability, robustness and efficiency of the implemented ELT processes and data pipelines and eventually re-design them\nGather requirements and write technical specifications document\nEnsure and monitor high data quality standards with focus on data consistency\nTimely resolve incidents related to data interfaces and ELT processes\nExpand the current Data & Analytics platform to embed “big data” capability by investigating and sharing best practices\n Master’s degree in IT / Economics \n5-6 years of data engineer experience \nFluent English\nExperience with data modelling (conceptual, logical, physical) and data modelling documentation\nProfessional experience and conceptual knowledge of building and maintaining physical and logical data models, including data streaming\nAbility to think beyond technology requirements to build ONE logical Data & Analytics platform\nExcellent knowledge and proven professional experience with MS Azure and Lakehouse architecture, in-depth knowledge and/or certification in Databricks (Spark)\nWell structured, analytically thinking and demonstrating the ability to explain processes in a clear and understandable manner to a non-technical audience\nSystem management expertise with monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment\nAbility to take ownership and proven strive for excellence","description_format":"text","description_chars":3931,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Sales & Marketing","Advertising"],"lifecycle":[{"event":"open","at":"2026-06-26T13:49:26Z"}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.494,"p_room":0.36,"age_days":92,"expected_fill_days":49,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/met-group-data-engineer","json_url":"https://alion.io/job/met-group-data-engineer.json","meta":{"generated_at":"2026-09-28T00:38:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":188,"day_limit":5000,"remaining_today":4812,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}