{"id":128501,"url":"https://alion.io/job/aia-group-data-engineering-consultant","title":"Data Engineering, Consultant","company":{"id":5838,"name":"AIA Group","domain":"aia.com","url":"https://alion.io/company/aia","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":232,"ghost_share":0.004,"stale_share":0.957,"repost_share":0.004,"time_to_fill_p50_days":29,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":40000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-18T01:38:36Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.\nAs pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.\nTo get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.\nIf you believe in developing a better tomorrow, read on.\nAbout the Role\nThis role is hands-on and will focus on designing, implementing, and integrating advanced data engineering with AI solutions integration across the enterprise.Roles and Responsibilities:\n- Technical Leadership\nAct as the technical lead for data engineering initiatives.\n\nDesign, build, and optimize scalable data pipelines and architectures usingenterprise tools and software.\n\nDrive integration ofAPIservices and components together withenterprise data platformsfor digital applications.\n\n- Project Delivery & Integration\nCollaborate with internal application teams to align on projectdeliverables,timelines, integration requirements, and implementation strategies.\n\nEnsure adherence to company processes for services and infraprovisioning, including user access management and compliance with governance standards.\n\nOversee end-to-end project execution, from design through deployment.\n\n- Operation Excellence\nDefine and establish the Business-As-Usual (BAU) support model post-project implementation.\n\nParticipate in BAU support activities as needed, ensuring smooth operations and issue resolution.\n\nDrive continuous improvement in data engineering practices and operational processes. \n\n-Vendor & Stakeholder Management\nServe as the primary technical liaison with external vendors, ensuring deliverables meet quality, security, and performance standards.\n\nManage vendor relationships to align with project goals, budgets, and timelines.\n\nCommunicate effectively with stakeholders across business and technology teams.\n\n- Innovation & Best Practices\nStay current with emergingData Engineeringtechnologies and assess their applicability to enterprise data solutions.\n\nChampion best practices in data engineering, cloud architecture, and AI integration.\n\nContribute to the development of enterprise standards, frameworks, and reusable components.\n\n- Governance & Compliance\nAdhere to company governance processes for Azure service provisioning, access management, and security compliance.\n\nWork closely with the Group CCoE and technical counterparts for component provisioning, user access, and platform governance.\n\nMinimum Job Requirements:\nMin8-10years ofdata engineeringdesign and developmentPlan and manage end-to-end delivery and work assignments within the assigned projects.\n\nExcellent skills in Business user engagement and stakeholder management\n\nExperienced in engaging business stakeholders for requirement analysis and discussions\n\nStrong experience in Azure DatabricksData Engineeringin the following context: \n\nMust-Have Skills:\n1) PySpark\nBuilding data pipelines\n\nData transformations\n\nSpark performance tuning\n\n2) SQL\nComplex queries\n\nJoins, window functions\n\nData modeling\n\n3) Delta Lake\nMERGE (upsert)\n\nTime Travel\n\nPartitioning\n\nOPTIMIZE and VACUUM\n\n4)Databricks Platform\nNotebooks\n\nWorkflows/Jobs\n\nCluster management\n\nGit integration\n\n5) Lakehouse Architecture\nBronze, Silver, Gold layers\n\nETL/ELT design\n\nImportant Skills:\n1) Cloud Knowledge\nAzure Databricks (preferred for many enterprises)\n\nADLS Gen2\n\nADF\n\nAzure DevOps\n\n2) Streaming\nAuto Loader\n\nStructured Streaming\n\nKafka or Event Hub\n\n3) Governance & Security\nUnity Catalog\n\nAccess control\n\nData lineage\n\nNice-to-Have Skills:\n1) DevOps/DataOps\nCI/CD pipelines\n\nTerraform\n\nDatabricks Asset Bundles\n\n2) Programming\nPython (mandatory)\n\nScala (optional)\n\n- Sound experience in execution of IT projects with high level of expertise in system application and technology implementation delivery.\n- Strong communication skills with ability to communicate with stakeholders.\n- Strong analytical and problem-solving skills.\n- Domain proficiency in insurance business and its operations.\n- Able to work independently and highly self-motivated.\n- Able to work with peers and other stakeholders, a team. playerexperienceand best practices infinancialindustries.\n- Bachelor of Science Degree in Computer Science or related.\nBuild a career with us as we help our customers and the community live Healthier, Longer, Better Lives.\nYou must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. 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