{"id":3979649,"url":"https://alion.io/job/excellent-staffing-data-engineer","title":"Data Engineer","company":{"id":4510137,"name":"Excellent Staffing","domain":null,"url":"https://alion.io/company/excellent-staffing","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"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":"Agile","optional":false},{"name":"Claude Code","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Framer Motion","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"n8n","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TypeScript","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-11-06T12:15:49Z","employer_posted_date":null,"last_verified_at":"2026-11-06T12:15:49Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Reference: CPT000244-MK-1\n\nIGrow Wealth Investments Group of Companies, proudly positioned as South Africa’s #1 Investment company, is searching for a motivated and technically skilled Mid-Level Data Engineer to join our growing Data & Analytics team in Durbanville,Cape Town.\n\nIn this role you will design, build, and maintain robust data pipelines and infrastructure that power business intelligence, automation workflows, and operational reporting across IGrow's property and wealth platforms.\n\nYou will work closely with data scientists, analysts, and product teams and with our core systems such as Zoho CRM — to ensure high-quality, reliable data is available across the organisation, all built on iGrow's modern Python.\n\nDuties & Responsibilities\nMinimum requirements (Advantageous):\n\nPostgraduate Degree (Honours, Master's or PhD) in Computer Science, Statistics, Mathematics, Engineering or a related field.\n\nMinimum 3-5 years of relevant experience in a Data Engineering or similar role.\n\nStrong proficiency in Python (pandas or equivalent) and SQL.\n\nHands-on experience designing and maintaining ELT/ETL pipelines in production environments.\n\nStrong experience with PostgreSQL,schema design and query optimisation.\n\nExperience building backend services using Node.js and TypeScript.\n\nWorking knowledge of Docker and containerised deployments.\n\nExperience with workflow automation and orchestration tools such as n8n, Zapier or similar platforms.\n\nUnderstanding of data modelling concepts and best practices.\n\nStrong analytical and problem-solving skills with a focus on data quality.\n\nExperience integrating solutions with Zoho CRM using Deluge and JavaScript.\n\nFamiliarity with low-code and AI automation platforms, including Base44 and n8n.\n\nExperience using AI developer tools such as Claude Code and LLM-based assistants.\n\nFront-end development exposure using React, Tailwind CSS and Framer Motion for building internal data tools.\n\nExperience working in an Agile/Scrum environment.\n\nBackground in property, financial services, or investment domains.\n\nDuties and responsibilities include, but are not limited to:\n\nData Pipeline Development\n\nDesign, build, and maintain scalable ELT/ETL pipelines using Python and SQL against PostgreSQL.\n\nOrchestrate and automate data workflows using n8n, Zapier, and scheduled Node.js services.\n\nEnsure pipelines are reliable, idempotent, and monitored with appropriate alerting.\n\nData Infrastructure & Deployment\n\nContainerise and deploy data services with Docker for consistent, reproducible environments.\n\nBuild and maintain backend data services in Node.js and TypeScript.\n\nOptimise PostgreSQL performance, indexing, and resource usage for cost and speed.\n\nData Modelling & Warehousing\n\nDesign and implement data models and schemas in PostgreSQL to support analytics and reporting.\n\nApply dimensional and relational modelling best practices to support analytics use cases.\n\nCollaborate with analysts to build and maintain transformation layers in SQL and Python.\n\nSystems & CRM Integration\n\nIntegrate data across iGrow's core systems, with Zoho CRM as a key source of record.\n\nBuild and maintain Zoho integrations and automations using Deluge, JavaScript, and REST APIs.\n\nConnect low-code and automation platforms (n8n, Zapier, Base44) into reliable, observable data flows.\n\nData Quality & Governance\n\nImplement data quality checks, validation frameworks, and lineage tracking.\n\nContribute to data cataloguing and documentation efforts.\n\nEnforce data security, access control, and compliance standards.\n\nAI-Assisted Engineering & Continuous Improvement\n\nUse AI tools such as Claude Code and LLMs to accelerate development, testing, and documentation.\n\nParticipate in code reviews and promote engineering best practices.\n\nStay current with data engineering trends and contribute to tooling and process improvements.\n\nIf you do not receive feedback within two weeks of submitting your application, please consider your application 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