{"id":107463,"url":"https://alion.io/job/fugro-ai-data-engineer","title":"AI Data Engineer","company":{"id":12180,"name":"Fugro","domain":"fugro.com","url":"https://alion.io/company/fugro","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":27,"ghost_share":0,"stale_share":0.815,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":115000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-17T00:00:00Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-22T00:57:33Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":98},"description":"Job Description\nWho we are\nDo you want to join our Geo-data revolution? Fugro’s global reach and unique know-how will put the world at your fingertips. Our love of exploration and technical expertise help us to provide our clients with invaluable insights. We source and make sense of the most relevant Geo-data for their needs, so they can design, build and operate their assets more safely, sustainably and efficiently. But we’re always looking for new talent to take the next step with us. For bright minds who enjoy meaningful work and want to push our pioneering spirit further. For individuals who can take the initiative but work well within a team.\nJob Summary:\nThe Data Engineer designs, builds and maintains data pipelines, integrations and data structures that support AI, machine learning, analytics and automation solutions. The role works with approved enterprise data platforms, including Databricks and Microsoft Fabric (medallion architecture), to ensure data is reliable, secure, well-governed and ready for approved technical and business use cases.\nThis is a 3-year fixed term contract for placement in Singapore, and only open to SG/PR candidates.\nKey Responsibilities:\nData Pipeline development\nDesign, build and maintain data pipelines for AI, analytics and automation solutions.\nIngest, transform and deliver data from enterprise systems, files, databases and approved platforms.\nBuild repeatable ETL/ELT processes that are reliable, scalable and maintainable.\nMonitor pipeline performance and resolve data flow issues where required.\nData Integration & Platform Support \nIntegrate data across Microsoft enterprise systems, cloud platforms and business applications.\nSupport data movement between source systems, data platforms, AI environments and reporting tools.\nDevelop connectors, APIs or data services where required to support solution delivery.\nWork with existing enterprise platforms; Microsoft Fabric, Databricks, Power Platform and related cloud services.\nData Quality & Modelling\nImplement monitoring, error handling, lineage, and auditability for data pipelines and datasets.\nSupport data modelling for analytics, AI/ML and application use cases.\nEnsure datasets are accurate, consistent, documented and fit for intended use.\nWork with data owners and stakeholders to resolve data quality issues.\nAI/ML Data Enablement\nPrepare and structure data for machine learning, model evaluation and AI solution development.\nSupport feature engineering, training datasets, evaluation datasets and production data flows.\nWork with AI/ML Engineers to ensure models receive reliable and governed data inputs.\nSupport ongoing data requirements for deployed AI and automation solutions.\nSecurity, Governance & Documentation\nApply access control, privacy, security and data governance requirements to data solutions.\nDocument data flows, transformations, dependencies and known limitations.\nMaintain clear handover and support documentation for pipelines and integrations.\nEnsure data engineering work aligns with architectural and operational standards.\nRequirements:\nEducation: Tertiary institution/ bachelor’s degree (IT, Computer Science, Engineering, Data/AI, or equivalent experience)\nWorking experience: 5+ years (Experience designing, building and maintaining data pipelines or data integrations.)\nStrong SQL and Python/PySpark skills for data processing, transformation and automation.\nExperience supporting AI/ML, analytics or automation solutions with reliable data inputs.\nExperience with ETL/ELT, data modelling, data quality and metadata management.\nExperience integrating data from enterprise systems, APIs, files and databases.\nFamiliarity with security, privacy and data governance requirements.\nExperience working in agile or collaborative technical delivery environments.\nCI/CD and git-based deployment workflows\nManagement experience: 0-1 years Formal people management experience is not required. Exposure to collaborative projects and agile delivery.\nExperience contributing to AI, analytics, automation or data platform initiatives through hands-on data engineering, integration and technical delivery. Technical skills and experience:\nMicrosoft Fabric or Databricks with a medallion architecture\nSQL and Python/PySpark\nKnowledge of data practices (dimensional models, normalizing data, etc.)\nKnowledge of data platform design (federated versus centralized, etc.)\nStrong troubleshooting skills with focus on root cause resolution.\nMicrosoft certifications are a plus\nExperience with Copilot 365, Copilot Studio, Github Copilot, Azure data services\nHow to apply:\nPlease include your latest resume in the application.\nWe regret to inform this position is open only to SG/PR\nWe regret to inform that we will only process applications made via our Careers website (and other linked portals) and only shortlisted applicants will be contacted.\nDisclaimer for recruitment agencies:\nFugro does not accept any unsolicited applications from recruitment agencies. 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