{"id":2418858,"url":"https://alion.io/job/cai-data-integration-engineer","title":"Data Integration Engineer","company":{"id":1819291,"name":"CAI","domain":"cai.io","url":"https://alion.io/company/cai-io","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":45000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Go","optional":false},{"name":"ITIL","optional":false},{"name":"Java","optional":false},{"name":"Kanban","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Quarkus","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-07-24T00:00:00Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-10-13T05:17:54Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"Data Integration EngineerReq number:\nR7960Employment type:\nFull timeWorksite flexibility:\nHybridWho we are\nCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.\nJob Summary\nWe are looking for a motivated Data Integration Engineer ready to take us to the next level! If you have experience in designing, building, and maintaining scalable data pipelines within a cloud-based Azure ecosystem, and are looking for your next career move, apply now.Job Description\nWe are seeking an experienced Data Integration Engineer to design, build, and maintain scalable data pipelines within a cloud-based Azure ecosystem. This position will be full-time and hybrid at Mandaluyong City.\nWhat You'll Do\nDesign, develop and test data pipelines to extract, transform, and load data from diverse source systems into target data models and the target location\n\nWork with business analysts to define data mapping and transformation rules\n\nEnsure data accuracy and integrity through testing, validation and quality checks\n\nProduce high-level and detailed technical designs, including documentation for all data pipelines\n\nExperiment and evaluate emerging solutions, such as agentic AI, to improve the efficiency, accuracy, and automation of data delivery processes\n\nDesign and implement Azure-based cloud-native solutions using Azure Data Factory, Databricks, Azure Container Apps, and Azure Service Bus\n\nSupport configuration and maintenance of development and production environments for IRIS data integration projects\n\nMaintain CI/CD deployment pipelines in alignment with ADB standards\n\nEnsure scalable, secure, and event-driven data integrations aligned with banking and enterprise architecture standards, using templates and tools such as Azure Data Factory, Databricks and ADB’s RIP (Right Integration Pattern)\n\nMonitor and maintain data pipelines to ensure alignment with evolving source systems\n\nTroubleshoot and resolve issues to maintain reliable operation\n\nParticipate in Agile development processes including Scrum and Kanban events\n\nSupport project planning and manage planning dependencies\n\nApply best practices in coding, testing, and deployment including CI/CD pipelines\n\nStay updated with the latest trends in data engineering and suggest process improvements\n\nPerform other relevant tasks as assigned\n\nWhat You'll Need\nRequired:\n5 years of experience as an (integration) developer and/or data engineer preferably in the banking sector or financial services sector\n\nStrong expertise in the Azure Data Ecosystem, including tools such as Azure Data Factory, Azure Data Lake, Databricks, Azure Blob Storage, and Azure SQL Databases\n\nExperience in at least one of five programming languages that ADB uses for data integration: Python, Quarkus (Java), ,C#, Node.js, Golang\n\nExperience in (rest) API programming in an enterprise context\n\nExperience in setting up development and production environments, including implementing CI/CD pipelines\n\nHands-on experience with Azure DevOps for version control and deployment automation\n\nAbility to collaborate effectively with IT teams to design and deliver robust data integration solutions\n\nExcellent communication skills, both written and verbal, in English\n\nFamiliarity with ITIL practices and experience working within Scrum/Agile frameworks\n\nPreferred:\nExperience with Azure Service Bus, ADB’s Right Integration Pattern (RIP) and/or Quarkus framework for the development of microservices\n\nExperience with other public cloud providers, such as AWS and OCI\n\nExperience with the Oracle ecosystem\n\nCertificates on the Azure platform such as AZ-900 and/or DP-900 and up\n\nPhysical Demands\nAbility to safely and successfully perform the essential job functions\n\nSedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.\n\nAbility to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor\n\nReasonable accommodation statement\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to  (888) 824 - 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