{"id":3568341,"url":"https://alion.io/job/job-mail-senior-data-engineer-healthcare-data-platform-2","title":"Senior Data Engineer – Healthcare Data Platform","company":{"id":701519,"name":"Job Mail","domain":"jobmail.co.za","url":"https://alion.io/company/job-mail","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":"jobmail.co.za","ats_vendor":"Schema","truth_index":{"grade":"C","score":65,"open_postings":6927,"ghost_share":0.489,"stale_share":0,"repost_share":0.71,"time_to_fill_p50_days":7,"computed_at":"2026-11-02T06:13:15Z"}},"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":["Johannesburg, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":73000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Oracle","optional":false},{"name":"Power BI","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"SAS","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-31T13:33:21Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-02T20:16:10Z","board_verified":false,"closed_at":"2026-11-02T20:16:10Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are seeking a Senior Data Engineer to join a greenfield/future-state data platform initiative within the healthcare and medical scheme administration environment.\nThe successful candidate will be responsible for owning delivery end-to-end, from discovery and assessment through to implementation. This is a highly autonomous role requiring strong technical depth across both legacy data technologies and modern cloud data platforms.\nThe environment includes POPIA-sensitive health data, with a legacy estate incorporating Oracle, SAP BusinessObjects and SAS, while the organization transitions towards a modern cloud-based data environment.\nContract & Location\nPosition: Senior Data Engineer\nContract: Up to 18 months, structured in 6-month phases\nStart Date: 1 October 2026\nWork Model: Hybrid\n Location: Waterfall / Midrand / Johannesburg\nRequirements\nKey Technology Requirements\nThe ideal candidate should have strong hands-on experience with:\nOracle Database\nAdvanced SQL development and optimisation\nSAP BusinessObjects (BO)\nSAS\nPower BI\nData profiling and quality assessment\nETL and data engineering\nProcess automation\nSelf-service analytics\nSnowflake\nAWS\nData modelling\nMetadata management and data cataloguing\nGenerative AI / LLM applications\nRole Summary\nThe Senior Data Engineer will operate as a self-sufficient technical lead, independently driving delivery and managing the engagement from discovery through implementation.\nThe primary objective is to reduce operational workload across the client's reporting estate through:\nReporting rationalisation\nProcess automation\nSelf-service enablement\nData quality automation\nReusable data assets\nImproved governance and metadata management\nSuccess will be measured by business outcomes, operational efficiency and released capacity, rather than simply utilisation.\nKey Responsibilities\nDiscovery & Assessment\nAssess and baseline the current reporting landscape.\nAnalyse complex and potentially undocumented data environments.\nIdentify manual, repetitive and inefficient processes.\nQuantify effort and operational workload.\nPrioritise initiatives based on measurable effort reduction and business value.\nReporting Rationalisation\nReview the existing reporting estate.\nIdentify opportunities to retire, consolidate and standardise reports.\nEstablish consistent metric and data definitions.\nReduce duplication and unnecessary reporting effort.\nData Engineering & Automation\nDesign and implement robust ETL/data engineering solutions.\nAutomate manual and repetitive processes.\nDevelop automated validation, reconciliation and quality assurance controls.\nImplement appropriate audit trails and controls.\nImprove data reliability and operational efficiency.\nSelf-Service Analytics\nDevelop reusable datasets and data products.\nEnable business users through governed Power BI assets.\nPromote appropriate self-service analytics while maintaining data governance.\nData Catalogue & Metadata\nEstablish and maintain a centralised reporting/data catalogue.\nDefine metadata standards.\nImprove discoverability and understanding of reporting assets.\nExplore appropriate use of Generative AI/LLMs for natural-language data and report discovery.\nStakeholder Management\nEngage directly with business and technical stakeholders.\nShape requirements and scope.\nDrive technical and delivery decisions.\nCommunicate progress, risks and outcomes effectively.\nEscalate only matters that genuinely require additional intervention.\nPerformance & Outcomes\nDefine and track KPIs demonstrating reduced manual effort.\nMeasure released capacity and operational improvements.\nTake ownership of planning, prioritisation and delivery across assigned workstreams.\nCandidate Profile\nThe successful candidate will be:\nA highly experienced Senior Data Engineer with strong technical depth.\nComfortable working independently with minimal supervision.\nAble to take ownership of an engagement from discovery through delivery.\nExperienced working within complex legacy data environments.\nStrong in Oracle, SQL, BusinessObjects and SAS.\nComfortable working with modern cloud technologies such as AWS and Snowflake.\nStrong in data modelling, ETL, data quality and automation.\nExperienced with Power BI and self-service analytics.\nAble to navigate undocumented environments and quickly understand complex data estates.\nCommercially minded, with the ability to identify opportunities that remove operational effort.\nConfident engaging senior business and technical stakeholders.\nComfortable working within a regulated healthcare and POPIA-sensitive environment.\nIdeal Candidate Mindset\nThis role is suited to someone who does not need to be directed through each task.\nThe successful candidate should be able to walk into a complex environment, understand the current state, identify the biggest opportunities, develop a delivery plan and execute against measurable outcomes.\nThe focus is not simply on building data solutions, but on using data engineering, automation and modern analytics to simplify the reporting estate, reduce manual work and create sustainable business 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