{"id":2520159,"url":"https://alion.io/job/risorse-data-engineer-categorie-protette-l-6899","title":"Data Engineer - Categorie Protette L. 68/99","company":{"id":4373482,"name":"Risorse","domain":"risorse.it","url":"https://alion.io/company/risorse","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"inRecruiting","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":28000,"max":35000,"currency":"EUR","period":"year","gross":null,"usd_annual":39164},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-14T10:42:21Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-31T04:29:53Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Descrizione azienda\nRisorse S.p.A., realtà specializzata nella Ricerca e Selezione di personale, per importante società di consulenza informatica, ricerca:\nPosizione\nData Engineer - Categorie Protette L. 68/99\nLa risorsa si occuperà di progettare e gestire i flussi e i modelli di dati a supporto delle analisi dei clienti, nel dettaglio:\nProgettazione e manutenzione di pipeline di dati (ETL/ELT);\nModellazione e gestione di data warehouse e data lake su cloud;\nRealizzazione di dashboard e report (Power BI, Tableau);\nSupporto a progetti di Finance Transformation e automazione dei processi;\nControllo della qualità e della sicurezza dei dati;\nCollaborazione con i team di consulenza e con il cliente.\nRequisiti\nAppartenenza alle categorie protette ai sensi della L. 68/99 e iscrizione alle liste del collocamento mirato;\nAlmeno 2 anni di esperienza in ruoli di data engineering, BI o data analysis;\nOttima conoscenza di SQL e buona conoscenza di Python;\nEsperienza con almeno un Cloud Provider (Azure, AWS o GCP);\nEsperienza con strumenti di BI (Power BI o Tableau);\nBuona conoscenza della lingua inglese (almeno livello B1), sia parlata che scritta;\nSi richiede la predisposizione all’organizzazione dei flussi di lavoro, spirito d’iniziativa, capacità relazionale e attitudine al lavoro in team.\nCostituiscono un plus certificazioni in ambito Cloud e Data (Azure DP-203, AWS, Databricks) ed esperienza con strumenti come Azure Data Factory, Spark o dbt.\nAltre informazioni\nTipologia di inserimento: Contratto a tempo indeterminato - 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