{"id":4070069,"url":"https://alion.io/job/inetum-data-engineer-10","title":"DATA ENGINEER","company":{"id":3561,"name":"Inetum","domain":"inetum.com","url":"https://alion.io/company/inetum","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":487,"ghost_share":0,"stale_share":0.819,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GitLab","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"Kibana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-11T09:03:09Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T13:07:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join Inetum - We're Hiring a DATA ENGINEER!\nAt Inetum, a leading international digital consultancy, we empower 27,000 professionals across 27 countries to shape their careers, foster innovation, and achieve work-life balance. Proudly certified as a Top Employer Europe 2026, we’re passionate about creating positive and impactful digital solutions.\n Hybrid work mode in Madrid.This service could imply a willingness to travel occasionally within Italy.\nThe main responsibilities are:\nMigrate the existing Hadoop infrastructure to cloud infrastructure on Kubernetes Engine, COS, Spark as a service, and Airflow as a service.\nImplement data transformation and quality to ensure data consistency and accuracy. Utilize programming languages such as Scala and SQL and tools like Spark for data transformation and enrichment operations.\nSet up CI/CD pipelines to automate deployments, unit testing and development management.\nWrite and conduct unit and validation tests to ensure accuracy and integrity of code developed.\nAutomate data pipelines and streamline data ingestion through the implementation of different orchestrators and scheduling processes (Airflow as a Service mainly).\nWriting technical documentation (specifications, operational documents) to ensure knowledge capitalization.\nCollaborate with cross-functional teams to understand data requirements and deliver solutions.\nFoster a culture of continuous learning and improvement within the team.\n Good knowledge of:\nSpark on Scala\nCI/CD tools (Gitlab, Jenkins…)\nHDFS and structured databases (SQL)\nApache Airflow\nS3 storage/COS and parquet (and ORC) format\nStrong knowledge of SQL and NoSQL databases\nHadoop\nFull understanding 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