{"id":2298898,"url":"https://alion.io/job/itenium-data-engineer-itenium","title":"Data Engineer @itenium","company":{"id":4413711,"name":"ITENIUM","domain":"itenium.be","url":"https://alion.io/company/itenium","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mechelen, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-11T20:36:23Z","employer_posted_date":null,"last_verified_at":"2026-10-11T20:36:23Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Wij zijn op zoek naar een \ngepassioneerde en getalenteerde ontwikkelaar met de drijfveer om zijn/haar vaardigheden voortdurend te blijven leren en verbeteren.\n\nVerantwoordelijkheden\n\nBouwen en onderhouden van schaalbare, efficiënte ETL/ELT-pijplijnen.\n\nOptimaliseren van data lakes en datawarehouses voor prestaties en kwaliteit.\n\nOntwerpen van robuuste datamodellen voor analyses en machine learning.\n\nSamenwerken met analisten, wetenschappers en belanghebbenden.\n\nAutomatiseren van dataworkflows en bijdragen aan CI/CD-pijplijnen.\n\nHeb jij:\n\nde drive om continu bij te leren?\n\nzin om deel uit te maken van een \njong, dynamisch team dat dezelfde waarden deelt?\n\neen sterk \nverantwoordelijkheidsgevoel voor wat je oplevert?\n\nde voorkeur voor \nkwaliteit boven kwantiteit?\n\nde toewijding om kwaliteit en professionaliteit bij onze klanten te brengen?\n\nde wens om begeleid te worden door de \nbeste technische mensen (20+ jaar ervaring) om je ontwikkeling en carrière te stimuleren?\n\nde ambitie om de nieuwste technologieën te leren om je passie te blijven voeden?\n\neen goede beheersing van het \nNederlands en een grondige kennis van het \nEngels?\n\nTechnologie & Ervaring\n\nJe hebt ervaring met:\n\n5+ jaar in data engineering of een gerelateerde functie. \n\nSterke vaardigheden in SQL en Python.\n\nAzure, AWS of GCP.\n\nAzure Data Factory, Databricks, Spark of Kafka.\n\nData lakes en datawarehousing (bijv. 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