{"id":2706175,"url":"https://alion.io/job/akkodis-ingeniero-de-datos-process-mining-mf","title":"Ingeniero de datos (Process Mining) 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":"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":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":78000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-16T12:39:26Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-18T14:20:31Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"General information\nPublication date\n16/10/2026\nPosition description\nCategory\nOPERATIONS - ENGINEERING/PRODUCTION\nJob title\nIngeniero de datos (Process Mining) M/F\nContract\nPermanent contract\nJob description\nEn Akkodis, combinamos soluciones digitales y de ingeniería para crear un futuro más inteligente para todos. Con presencia en más de 30 países de Europa, Asia y América, apostamos por la innovación, el talento y la tecnología para transformar industrias y resolver algunos de los retos más complejos del mundo.\nActualmente estamos ampliando nuestro equipo y buscamos un/a Ingeniero/a de Datos de Procesos para incorporarse a un proyecto estable con grandes oportunidades de crecimiento profesional. Tendrás un papel clave en la construcción y modelado de datos para iniciativas de Process Mining, transformando información operativa en conocimiento de valor para el negocio.\n¿Cómo será tu día a día?\nDiseñar y mantener pipelines ETL/ELT para integración y transformación de datos.\nModelar datos para Process Mining a partir de casos, eventos, actividades y timestamps.\nConstruir y optimizar capas de datos para consumo analítico.\nGarantizar la calidad, integridad y consistencia del dato.\nTrabajar en entornos cloud utilizando Databricks, Snowflake y Python.\nColaborar con equipos de negocio y analítica para transformar necesidades en soluciones técnicas.\n¿Qué te ofrecemos en Akkodis?\nContrato indefinido.\nTeletrabajo 100% con únicamente visitas puntuales durante el año.\nProyecto estable en un entorno corporativo internacional.\nBeneficios flexibles (seguro médico, ticket restaurante y más).\nFormación continua y desarrollo profesional.\nSi buscas un reto donde combinar ingeniería de datos, cloud y Process Mining en proyectos de alto impacto, ¡queremos conocerte!\nBusiness Industry\nDigital\nProfile\nEres la persona ideal si cuentas con…\nEntre 5 y 8 años de experiencia en Ingeniería de Datos o posiciones similares.\nExperiencia sólida con Python (PySpark, Pandas) y SQL avanzado.\nExperiencia diseñando y desarrollando pipelines ETL/ELT.\nConocimientos y experiencia trabajando con Databricks y Snowflake.\nExperiencia modelando datos para analítica avanzada y grandes volúmenes de información.\nConocimiento práctico de conceptos de Process Mining y modelos de eventos\n⭐ ¿Qué valoramos en tu perfil?\nExperiencia con herramientas de Process Mining como QPR Analyzer.\nConocimientos de arquitecturas Lakehouse.\nExperiencia con Airflow, Azure Data Factory u otros orquestadores.\nConocimientos de Data Governance y Data Quality.\nExperiencia trabajando en entornos Agile/Scrum.\nPosition location\nJob location\nEurope, Spain\nLocation\nCalle Martínez Villergas 52 Madrid\nCandidate criteria\nLevel of experience\n1 to 3 years","description_format":"text","description_chars":2721,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Spanish","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-16T12:39:26Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely 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