{"id":1366565,"url":"https://alion.io/job/gea-industrial-data-engineer","title":"Industrial Data Engineer","company":{"id":1788131,"name":"GEA","domain":"gea.com","url":"https://alion.io/company/gea-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":79,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Alcobendas, Spain","Bogotá, Colombia","Ireland"],"countries":["ES","IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":127000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"InfluxDB","optional":false},{"name":"Machine Learning","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"closed","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-09-29T14:55:48Z","board_verified":false,"closed_at":"2026-09-29T14:55:48Z","days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Responsibilities / Tasks\nTheIndustrial Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines, databases, and analytics platforms that support cloud-based digital applications for food and beverage processing plants. Working closely with Product Owners, Software Developers, Automation Engineers, and Process Experts, this role enables advanced analytics, AI solutions, predictive maintenance, asset performance monitoring, and operational reporting.\nThis position can be based in Alcobendas (Spain), Naas (Ireland) or Bogota (Colombia), depending on the selected candidate.\nDesign, develop, and maintain data solutions leveraging Microsoft Azure, Databricks, InfluxDB, Industrial IoT data sources, and modern data engineering practices.\nDesign, develop, and maintain ETL/ELT pipelines to support data integration and analytics.\nDesign data models, relationships, and schemas that support analytics, reporting, machine learning, and digital products.\nDevelop API-based integrations using REST services and JSON.\nEstablish standards for data quality, governance, security, and lifecycle management.\nEnsure data architectures are scalable, reliable, and aligned with enterprise standards.\nSupport the integration of operational and equipment data from industrial systems into enterprise and cloud platforms.\nCollaborate with cross-functional teams to deliver data-driven solutions and enable business value through analytics and AI.\nYour Profile / Qualifications\nEducational Background\nBachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field.\nMicrosoft Azure or Databricks Certifications.\nProfessional Knowledge & Experience\n3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions.\nExperience developing Azure cloud-based data solutions.\nExperience working with large volumes of time-series and industrial data.\nStrong knowledge of:Data Modelling\nData Governance\nMetadata Management\nTime-Series Database Design\nQuery Optimization\nWorkflow Orchestration\nREST APIs\n\nProven experience working in Agile/Scrum environments.\nAwareness of IEC 62443 standards.\nDesirable knowledge of Machine Learning, AI, and Data Science concepts, with experience supporting AI-driven analytics solutions.\n Fluent English (B2/C1) required.\nSpanish or German would be considered a strong advantage.\nSkills & Competencies\nStrong ethics, compliance, and professionalism\nCommitment and alignment with business strategies and policies\nCustomer-focused and sustainability-oriented mindset\nCross-functional and multidisciplinary collaboration\nExcellent communication and networking skills\nStrong listening skills and cultural awareness\nStrong analytical, problem-solving, and decision-making skills\nContinuous improvement mindset and commitment to innovation\nAdaptability and willingness to learn new tools, technologies, and methodologies\nDid we spark your interest?\nThen please click apply above to access our guided application process.","description_format":"text","description_chars":3023,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Colombia","iso":null,"kind":"country"},{"name":"Ireland","iso":"IE","kind":"country"},{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages","Health Care","Food Technology"],"lifecycle":[{"event":"open","at":"2026-09-28T02:24:17Z"},{"event":"close","at":"2026-09-29T14:55:48Z"}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/gea-industrial-data-engineer","json_url":"https://alion.io/job/gea-industrial-data-engineer.json","meta":{"generated_at":"2026-09-30T06:18:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4403,"day_limit":5000,"remaining_today":597,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}