{"id":3516654,"url":"https://alion.io/job/akkodis-data-engineering-e-industrial-data-analytics-mf","title":"Data Engineering e Industrial Data Analytics M/F","company":{"id":52935,"name":"Akkodis","domain":"akkodis.com","url":"https://alion.io/company/akkodis","size_band":"1-10","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Talentsoft","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":69000,"period":"year","method":"role_country_seniority_unknown","sample_n":40},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Grafana","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-30T10:35:43Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T02:03:07Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"General information\nPublication date\n30/10/2026\nPosition description\nCategory\nOPERATIONS - ENGINEERING/PRODUCTION\nJob title\nData Engineering e Industrial Data Analytics M/F\nContract\nPermanent contract\nJob description\nEn Akkodis tenemos una oportunidad profesional como Data Engineering e Industrial Data Analytics para uno de nuestros clientes multinacionales del sector Industrial.\n¡Estabilidad de pertenecer a gran multinacional!\nFUNCIONES:\nColaborar en el desarrollo y mantenimiento de soluciones de datos en AWS y Databricks.\nDesarrollar procesos de tratamiento y transformación de datos utilizando Python, SQL y PySpark.\nIntegrar y procesar datos procedentes de sistemas industriales y herramientas de monitorización en tiempo real.\nAnalizar variables técnicas industriales, como velocidad, carga, temperatura y voltaje.\nDesarrollar soluciones de monitorización y visualización de datos con Grafana.\nAnalizar grandes volúmenes de datos para identificar tendencias, anomalías y patrones relevantes.\nParticipar en análisis estadísticos y modelos predictivos orientados a la detección temprana de fallos.\nBusiness Industry\nOil and Gas\nProfile\nREQUISITOS:\nConocimientos de procesamiento de datos en tiempo real (Real-Time Data).\nConocimientos de PCA (Principal Component Analysis) y monitorización de sistemas industriales.\nHORARIO: ¡FLEXIBLE! 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