{"id":3883377,"url":"https://alion.io/job/fujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas","title":"L2/L3 Application Support Engineer - Data Warehouse & ETL (SQL Server, SSIS, SSRS, SSAS)","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":11,"ghost_share":0,"stale_share":0,"repost_share":0.182,"time_to_fill_p50_days":13,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cebu City, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"CyberArk","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"ITIL","optional":false},{"name":"Least Privilege","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle ERP","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"SSIS","optional":false},{"name":"Power BI","optional":true},{"name":"Service Desk","optional":true},{"name":"Shift-Left Security","optional":true}],"status":"live","first_seen_at":"2026-11-06T18:49:46Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-12T09:21:49Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"At Fujitsu, we've been driven to create a sustainable world through innovation since 1935. Today, we lead in digital transformation globally with our 130,000 employees across 50+ countries. We empower our diverse community to achieve greatness through career development and opportunities. Explore our internal positions and join us in shaping a brighter future. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.\n1. Position purpose\nProvide second- and third-level support for Cleanaway's on-premises Microsoft data warehouse estate: SQL Server data warehouses and operational data stores, SSIS packages scheduled through JAMS and SQL Agent, SSRS reporting, SSAS cubes and Master Data Services. The engineer makes sure daily loads, month-end finance and payroll reporting, and operational and compliance reports are complete and accurate. They resolve incidents and data defects and deliver minor enhancements through change control.\n2. Key accountabilities\nIncident management and service restoration\nOwn assigned ServiceNow incidents through resolution: failed loads, stale or missing data, SSRS availability and report errors, and cube processing failures.\nDiagnose stored procedure, SSIS package and job-chain failures using error logs, monitoring databases and job history. Rerun or recover loads under documented procedures.\nCoordinate with Infrastructure and DBA teams on server restarts, capacity and SQL Server platform issues.\nResolve emergency finance-integration defects (e.g. accounts-payable voucher and invoice feeds) under emergency change governance.\nMonitoring and operational health\nPerform daily checks of overnight ETL, data warehouse load alerts and JAMS/SQL Agent schedules before the business day. Action failures before reporting deadlines.\nMonitor SSAS cube processing and route-planning and operational reporting job chains. Detect stale data before users do.\nValidate data warehouse processing after source-system outages, patching and releases.\nReporting and data operations\nRun scheduled month-end activities: payroll close and labour reporting refreshes for finance, trial balance and BAS extracts, work-hours imports and other recurring finance and HR data runs.\nInvestigate report data defects in operational, procurement spend, fleet, driver-compliance and service-performance reporting. Trace lineage from source systems (e.g. JDE) through staging to report.\nFulfil authorised report access and security requests for SSRS, SSAS roles and Master Data Services.\nChange, release and enhancement\nDesign, build, test and deploy minor enhancements to SQL objects, SSIS packages, SSRS reports and SSAS cubes, including organisational restructures and new codes or dimensions.\nPrepare change records, test evidence and rollback plans for CAB, and support release validation and smoke testing.\nSupport migration of remaining SSIS workloads to Azure Data Factory with the ADF/Databricks engineer: legacy logic analysis, parallel-run reconciliation and decommissioning of retired packages.\nTake delivered project components (e.g. route-planning platform migration) into BAU through hypercare and documented handover.\nProblem management and knowledge\nRaise and progress problem records for recurring load failures, report outages and data-quality defects. Document hard-coded business rules in stored procedures and packages.\nMaintain runbooks, job-chain and lineage documentation, report and metric definitions, and knowledge articles. Make sure source code (SSIS, SSRS, SSAS) is held in version control.\nParticipate in knowledge transfer from the incumbent provider, demonstrate independent handling of common support scenarios, and transfer knowledge to new team members.\nSecurity and compliance\nUse privileged and production access only through the approved access process (e.g. CyberArk), on a least-privilege basis and for authorised tasks.\nNever record passwords, tokens or other secrets in tickets, email or documents. Store and hand over credentials only through the approved vault.\nHandle customer, employee and payroll personal information in line with the Privacy Act and Cleanaway data classification, including compliant incident records and escalation of potential data breaches.\nMaintain segregation of duties: perform data corrections, approvals and production changes only with documented business or change approval, and keep an audit trail.\n3. Role boundaries\nL2/L3 accountability\nOwn monitoring, incident resolution, data-defect investigation, scheduled reporting runs and minor change delivery across the data warehouse estate.\nRetain ServiceNow ownership when Infrastructure, DBA or vendors remediate underlying platform issues.\nOutside delegated authority\nServer, SQL Server instance, backup, patching and SSRS encryption key management owned by DBA and Infrastructure teams.\nBusiness definition of financial, payroll, procurement or compliance metrics, and approval of data corrections.\nData platform architecture and modernisation programmes, where the engineer contributes analysis but does not lead.\n4. Skills and experience\nEssential\nDemonstrated enterprise production support and development experience with SQL Server, T-SQL, SSIS, SSRS and SSAS (multidimensional and/or tabular).\nExperience with enterprise job schedulers (e.g. JAMS) and SQL Agent: dependencies, reruns and recovery.\nData warehouse concepts: staging, ODS, dimensional modelling, incremental loads and data lineage.\nITIL-aligned incident, problem, change and request practice using ServiceNow or equivalent.\nClear communication with finance, operations and reporting stakeholders, including during month-end deadlines.\nDesirable\nMaster Data Services, JD Edwards data structures and procurement or finance system feeds (e.g. Coupa, Fieldglass).\nAzure Data Factory exposure for SSIS migration and parallel running.\nPower BI datasets sourced from the data warehouse.\nMicrosoft data certifications (e.g. DP-300, DP-900), ITIL 4 Foundation.\n5. Key relationships\nFinance, payroll and procurement teams: Month-end runs, finance extracts and data-defect validation\nOperations, fleet and compliance reporting users: Report issues, access and expected outcomes\nADF/Databricks and Power BI engineers: Shared pipelines, migration and downstream reporting dependencies\nService Desk / L1: Intake, initial triage, shift-left knowledge articles and incident escalation\nTechnical Platform Owner / Principal Analyst: Platform priorities, risks, technical governance and acceptance\nChange and release management: CAB approval, controlled releases and production validation\nInfrastructure, DBA and Cyber Security teams: Servers, databases, privileged access, certificates and security approvals\n6. Performance measures\nIncident response and resolution against agreed service levels and business-critical processing windows.\nCompletion and effectiveness of proactive monitoring, exception detection and recovery.\nService request timeliness and first-time-right fulfilment.\nChanges delivered successfully through change control, without unplanned outage or rollback.\nReduction in repeat incidents through problem records, root cause analysis and permanent fixes.\nAccuracy and currency of runbooks, knowledge articles, ServiceNow resolution notes and operational documentation.\nStakeholder satisfaction and timely communication during incidents and changes.\nDaily loads complete before business reporting deadlines. Month-end runs delivered on schedule.\n7. Transition readiness (by 21 December 2026)\nIndependence criteria Fujitsu must demonstrate before taking over from the incumbent provider. Remove this section after transition acceptance.\nDaily ETL and data warehouse monitoring checklist run without incumbent assistance. Alert recipients repointed to Fujitsu groups.\nResolve at least two load or report failures unaided, including a rerun and recovery.\nDeliver at least one data warehouse, report or cube change end to end through change control before the Christmas change freeze.\nTwo month-end cycles (labour reporting and finance extracts) delivered on time.\nA knowledge article for each recurring request type. Problem records with RCA drafted for recurring failures.\nIncident SLAs met for four consecutive weeks.\n8. Working arrangements and cross-cover\nProvide coverage of Australian business hours (AEST/AEDT) through agreed shift patterns, including the Australian morning window. Participate in a rostered on-call arrangement outside business hours, including weekends, for incidents and business-critical processing windows (e.g. overnight loads, month-end and payroll close), and in planned after-hours changes and maintenance. All operational activities must follow approved procedures, access controls, Cleanaway change governance and delegated authority.\nCross-cover: Secondary cover for the Power BI engineer (datasets and gateways) and for the ADF/Databricks engineer (pipelines feeding the data warehouse). Receives cover from both for data warehouse objects.\nAt Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.","description_format":"text","description_chars":9379,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-11-06T18:49:46Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.855,"p_room":1,"age_days":4,"expected_fill_days":13,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/fujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas","json_url":"https://alion.io/job/fujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas.json","meta":{"generated_at":"2026-11-12T09:53:59Z","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":20102,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":896},"rest":"https://alion.io/mcp/rest/get_company?id=896"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Ffujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Ffujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas"},{"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/fujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffujitsu-l2l3-application-support-engineer-data-warehouse-etl-sql-server-ssis-ssrs-ssas"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3883377}},{"tool":"search_jobs","arguments":{"company":"fujitsu.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3883377},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}