{"id":2904368,"url":"https://alion.io/job/airbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai","title":"Manufacturing Engineering Business Methods Engineer - Data Analytics & AI","company":{"id":3100,"name":"Airbus","domain":"airbus.com","url":"https://alion.io/company/airbus","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":342,"ghost_share":0.003,"stale_share":0.754,"repost_share":0.012,"time_to_fill_p50_days":28,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":["Getafe, Spain","Hamburg, Germany","Toulouse, France"],"countries":["ES","DE","FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":74000,"period":"year","method":"role_country_seniority_unknown","sample_n":93},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"FMEA","optional":false},{"name":"Machine Learning","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-20T07:26:32Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T17:10:21Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description:\nAn opportunity for a Manufacturing Engineering Business Methods Engineer - Data Analytics & Foundations has arisen within Airbus Operations, Getafe (Madrid).\nThe selected candidate will join the Central Manufacturing Engineering Work Preparation (OMMD) team within the Airbus Production System Efficiency organization. Responsible for Work Preparation processes, methods, tools, and competencies across all Airbus plants, Final Assembly Lines (FALs), and aircraft programs, our department focuses on deploying efficient production solutions to enable industrial excellence and support company profitability.\nThe jobholder will reinforce our team by leading transformational digital projects targeting the Manufacturing Engineering Work Preparation community, leveraging Data Analytics, Automation, and Artificial Intelligence to improve decision-making and operational efficiency.\nRESPONSIBILITIES\nThe main tasks of the jobholder will be:\n Lead digital transformation projects by deploying unified platforms (e.g., MEGA) to streamline end-to-end Preparation Dossier creation (PFMEA, Routing, SOI, Work Order Release) across plants and FALs.\nDefine and set the ME Data Analytics Strategy for the department while acting as the Data Custodian and main link to Data Governance teams.\nDrive process automation initiatives through the deployment of RPA, Machine Learning, and Artificial Intelligence solutions within the Work Preparation perimeter.\n Ensure compliance and governance by enforcing Airbus Export Control Regulations through specialized digital tools (e.g., tagging tools) and maintaining data consistency.\nProvide technical expertise and change management to local/transnational teams through digital coaching, communication, and facilitation.\n Support end-to-end data integration across business objects (SOI, BoM, Routing, Drawing) across all aircraft programs and shop floor guidance functions.\nSKILLS\nIs your profile aligned to the following list of skills? Apply! We are looking forward to knowing you:\n Education: 5-year degree (Master's or equivalent) in Mechanical Engineering, IT, or a related engineering field.\nExperience: Hands-on experience in Manufacturing Engineering Work Preparation activities, along with proven project leadership and change management experience.\n Technical knowledge: Expertise in Palantir Foundry (Skywise) or programming, strong knowledge of Artificial Intelligence foundations, and deep understanding of ME Work Preparation end-to-end data flows.\nLanguages: English at a negotiation level.\nSoft skills: Excellent stakeholder management, strong negotiation and communication skills, ability to work in a transnational environment, and availability to travel.\nValuable / Nice to have: Master’s degree in Data Analytics, Digital Transformation, or AI; knowledge of AWS, GCP, RPA, Machine Learning, Airbus Export Control Regulations; and proficiency in French, German, or Spanish.\nWHICH BENEFITS WILL YOU HAVE AS AIRBUS EMPLOYEE?\nAt Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:\nVacation days plus additional days-off along the year.\nAttractive salary.\nHybrid model of working when possible.\nCollective transport service subject to working calendar/home location.\nBenefits such as life insurance, health insurance, employee stock options, retirement plan, or study grants.\nOn-site facilities (among others): free canteen, kindergarten, medical office.\nPossibility to collaborate in different social and corporate social responsibility initiatives.\nExcellent upskilling opportunities and great development prospects in a multicultural environment.\nOption to access special rates in products & benefits.\nThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.\nCompany:\nAirbus Operations SLEmployment Type:\nPermanent-------\nExperience Level:\nProfessionalJob Family:\nManufacturing Engineering By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.\nAirbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.\nAirbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .\nAt Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.","description_format":"text","description_chars":4932,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false},{"language":"Spanish","level":"Advanced (C1)","optional":false},{"language":"German","level":"Advanced (C1)","optional":false},{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Flexible schedule","Health insurance","Life insurance","Retirement plans","Stock options"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Industrial Engineering","Satellite Manufacturing","Defense Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-20T07:26:32Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":28,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/airbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai","json_url":"https://alion.io/job/airbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai.json","meta":{"generated_at":"2026-10-22T19:18:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2506,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3100},"rest":"https://alion.io/mcp/rest/get_company?id=3100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fairbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fairbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fairbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/airbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fairbus-manufacturing-engineering-business-methods-engineer-data-analytics-ai"}]}