{"id":4162474,"url":"https://alion.io/job/tfg-data-engineer-2","title":"Data Engineer","company":{"id":3880366,"name":"TFG","domain":"tfg.co.za","url":"https://alion.io/company/tfg-2","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":82,"open_postings":64,"ghost_share":0,"stale_share":0.906,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-11-12T10:22:46Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T12:38:24Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The Data Engineer IV is responsible for leading the design, implementation, and maintenance of advanced data pipelines that constitute TFG’s data platform, enabling effective use of data across the organisation. They create and manage robust, mission-critical batch and streaming data processing capabilities and enhance data marts and data warehouses. The Data Engineer also delivers data analytics, business intelligence and automation solutions that support Group Risk and Assurance activities and objectives.\n Assist business teams and management with operational metrics, dashboards, and reporting.\nDesign and develop interactive visualisations using reporting and visualisation tools.\nProvide ad hoc reporting, data analysis and decision-support insights. \nDevelop and implement improved analytical methods, models and solutions.\nAnalyse historical data to identify trends and support strategic decision-making.\nDevelop, test and maintain predictive analytical models.\nExtract, transform and load (ETL) data from multiple source systems into reporting and visualisation platforms. \nPerform detailed business analysis, defining “current state”, identifying problems, opportunities for improvement and solutions to support the achievement of the digital transformation strategy.\nProvide technical recommendations on solutions to problems.\nValidate the accuracy, completeness and integrity of data used in analytical solutions.\nEngage with stakeholders to define reporting requirements and translate business needs into scalable analytical solutions.\nEstablish and govern standards applicable to the development and operation of data into AI models ensuring persistence and repeatability. \n 3+ years' experience in a Data Analytics, Business Intelligence, or similar environment.\nA bachelor’s degree in computer science, Informatics, Statistics, Accountancy, or a related field.\nStrong storytelling and presentation capabilities.\nExperience in analysing and interpreting large and complex datasets. \nAbility to create data models from disparate data sources.\nSound knowledge of data warehousing concepts, architectures and processes.\nAbility to work independently, manage competing priorities and deliver outputs within agreed timelines.\nStrong analytical, critical-thinking and problem-solving capabilities.\nAbility to communicate complex technical and analytical concepts to stakeholders at operational, management and executive levels.\nSkills\nPower BI and/or Pyramid.\nSQL and NoSQL technologies.\nExperience with Alteryx and/or SQL Server Integration Services.\nExperience in leveraging and applying AI technology across all phases of audit projects leveraging MCP.\nPredictive and prescriptive analytics.\nExperience with R and/or Python (advantageous). \nBehaviours\nEnsures Accountability - 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