{"id":3987236,"url":"https://alion.io/job/weplace-pty-data-engineer","title":"Data Engineer","company":{"id":4502816,"name":"wePlace (Pty)","domain":"weplace.co.za","url":"https://alion.io/company/weplace-pty","size_band":"1-10","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":["Johannesburg, 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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"WhatsApp","optional":false}],"status":"live","first_seen_at":"2026-11-05T16:01:04Z","employer_posted_date":null,"last_verified_at":"2026-11-05T16:01:04Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"Reference: JHB000967-AS-1\n\nOne of South Africa's Banking Giants is looking for a Data Engineer to join their team.\nDuties & Responsibilities\nAbout the role\nThe role forms part of the Client Engagement Delivery — the team that builds and maintains the data foundation powering the client engagement and campaign activity. This teams designs data assets and pipelines that deliver trusted, accurate data to Salesforce Marketing Cloud and Data360, giving CRM Architects, Specialist Client Engagement teams and Product Owners what they need to run targeted, data-driven campaigns and client journeys. \n\nThe work covers the full data lifecycle — from approved Business Requirements Specifications (BRS) through architecture, development, testing and deployment of production-ready pipelines. The team makes sure data is reliable and actionable across every channel: in-app, WhatsApp, email, SMS and branch. They partner with Business Analysts, Product Owners and Marketing Managers to translate business decisions into deployable pipelines — and support post-campaign measurement by publishing performance data to the EDW for continuous improvement. If you're a Data Engineer who wants to see your work reach millions of real clients across real channels, this is where you do it. \n\nWhat you'll do\n\nDesign, build and maintain robust, scalable and efficient data pipelines and systems that meet the needs of our data environment\n\nAnalyse business and system requirements to build and enhance data platforms\n\nProvide input to the Data Architect during solution design for new and existing data flows\n\nContribute to the design and development of new applications and systems\n\nSupport and maintain data infrastructure to keep it reliable and efficient\n\nEducation (Minimum)\n\nGrade 12 National Certificate / Vocational\n\nBachelor's Degree in Information Technology - Computer Science or Information Technology\n\nEducation (Ideal or Preferred)\n\nHonours Degree in Information Technology - Computer Science or Information Technology\n\nKnowledge and Experience\nKnowledge:\n\nAdvanced SQL — modelling principles and query optimisation\n\nHands-on experience with batch processing and basic implementation of stream processing\n\nProficiency in multiple programming languages — able to build reusable components and optimise code\n\nETL pipeline design — with error handling and recovery mechanisms\n\nDeep knowledge of at least one cloud platform's data services\n\nImplementation of data lake, data warehouse or other data patterns\n\nImplementation of data quality and governance\n\nAbility to performance-tune data systems and pipelines, balancing cost against performance\n\nAdvanced version control and CI/CD principles — including automated testing\n\nImplementation of containerised data solutions\n\nInfrastructure as code — creation and setup of workflow orchestration tools\n\nMinimum Experience:\n\n5 years in Data Engineering or closely related field \n\nLeading or significantly contributing to data engineering projects\n\nUsing advanced data engineering tools — SQL, Python, Java, Apache Spark, Hadoop\n\nCloud platforms — AWS, Google Cloud or Azure — and Big Data technologies\n\nBuilding and optimising data pipelines for financial data analytics\n\nWorking with cross-functional teams to understand business needs and deliver data-driven solutions\n\nEngaging stakeholders — communicating technical details and project progress to non-technical audiences\n\nUnderstanding of various financial products and services\n\nAwareness of market trends and their impact on data engineering \n\nSkills\n\nAnalytical Skills\n\nCommunications Skills\n\nInterpersonal & Relationship management Skills\n\nProblem solving skills\n\nAdditional Information\n\nClear criminal and credit record\n\nShould you not receive a response from us within one week of your application, your application has unfortunately not been successful.\n\nYou can visit our website for more vacancies: www.wePlace.co.za / LinkedIn 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