{"id":3526500,"url":"https://alion.io/job/nedbank-data-engineer-2","title":"Data Engineer","company":{"id":1868711,"name":"Nedbank","domain":"nedbank.co.za","url":"https://alion.io/company/nedbank-co-za","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"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":33000,"max_usd":75000,"period":"year","method":"role_country_seniority_unknown","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Db2","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"HBase","optional":false},{"name":"MS SQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-09-15T00:00:00Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-15T15:52:25Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Requisition Details & Talent Acquisition Contact\nRequisition nr: 147782\nTalent Acquisition Specialist: Tshego Semenya\nLocation: 135 Rivonia Road, Sandown\nCluster\nPersonal and Private Banking\nCareer Stream\nIt Application Development\nLeadership Pipeline\nManage Self: Technical\nPosition\nData Engineer\nWhy join the team!\nWe are seeking a talented Data Engineer to join a high-performing team responsible for delivering reliable, scalable, and business-critical data solutions within Personal and Private Banking. This role offers the opportunity to work within a data-driven environment where data plays a key role in enabling strategic decision-making, enhancing customer experiences, and driving business performance.\nYou will work across complex data ecosystems, supporting the design, development, enhancement, and optimisation of enterprise data platforms and data warehouse solutions. Collaborating with business stakeholders, analysts, architects, and technology teams, you will help deliver trusted, high-quality data that supports both operational and strategic objectives.\nThe successful candidate will contribute to building and maintaining robust data pipelines, improving data quality and governance standards, and driving continuous improvement across the data landscape. If you are passionate about solving complex data challenges and delivering meaningful business impact, this role offers an exciting opportunity to grow your expertise within a dynamic banking environment.\nJob Purpose\nTo design, develop, support, and optimise data solutions that enable trusted, accessible, and high-quality information across the business. The role is responsible for managing data integration processes, maintaining data warehouse environments, ensuring data governance compliance, and supporting business intelligence and analytics initiatives through the delivery of reliable and scalable data assets.\nJob Responsibilities\nContribute to the achievement of transformation and culture objectives.\nParticipate in corporate social responsibility and business initiatives.\nIdentify opportunities to improve processes, systems, and operational efficiencies.\nDeliver work in line with stakeholder requirements through effective planning and prioritisation.\nAdhere to governance, risk, compliance, and security standards.\nBuild, maintain, and optimise data pipelines, ETL processes, and data integration solutions.\nSupport and enhance enterprise data warehouse environments.\nEnsure data quality, integrity, accuracy, and availability across data platforms.\nMaintain metadata, data lineage, and data governance standards.\nMonitor, troubleshoot, and resolve data-related incidents.\nTranslate business requirements into scalable and sustainable data solutions.\nSupport business stakeholders with trusted and accessible data to enable decision-making.\nIdentify and implement automation and innovation opportunities.\nParticipate in Agile delivery activities including planning, development, testing, deployment, and support.\nBuild and maintain effective relationships with stakeholders, technology partners, and vendors.\nContribute to knowledge-sharing and continuous improvement initiatives.\nRemain current with industry trends, emerging technologies, and leading data engineering practices.\nDrive personal growth through continuous learning and skills development.\nEssential Qualifications - NQF Level\nProfessional Qualifications/Honour’s Degree\nAdvanced Diplomas/National 1st Degrees\nPreferred Qualification\nDegree in any of the following:\nMathematical/Statistics\nInformation Technology\nComputer Science\nData Science\nEngineering\nOr similiar \nPreferred Certifications\nDAMA Certification\nMicrosoft Azure Data Engineer Associate\nData Warehousing or Database Certification\nRelevant Cloud, Data Engineering, or ETL Certification\nMinimum Experience Level\n5+ years' experience within Data Engineering, Data Warehousing, Data Management, Business Intelligence, or related data-focused environments.\nProven experience designing, developing and supporting enterprise-scale data solutions.\nStrong hands-on experience with SQL development, query optimisation, data modelling, and ETL/ELT processes.\nExperience translating business requirements into scalable data solutions and actionable insights.\nExperience working with large and complex datasets across multiple source systems.\nExperience implementing and maintaining data governance, metadata, lineage, and quality standards.\nExposure to cloud-based data platforms and modern data engineering frameworks.\nExperience working within Agile delivery environments and collaborating with cross-functional teams.\nExperience within a banking, financial services, or other regulated environment will be advantageous\nTechnical / Professional Knowledge\nCloud Data Engineering (Azure, AWS, Google Cloud)\nData Warehousing\nDatabases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB)\nProgramming (SQL, Python)\nData Analysis and Data Modelling\nData Pipelines and ETL Tools\nData Governance and Metadata Management\nData Quality Management\nAgile Delivery Methodologies\nProblem Solving and Root Cause Analysis\nAzure Data Factory (ADF)\nAb Initio\nSSIS\nSAS ETL\nCI/CD and DevOps Practices\nDisclaimer\nPreference will be given to candidates from the underrepresented groups\nPlease contact the Nedbank Recruiting Team at +27 860 555 566\n---------------------------------------------------------------------------------------\n Please contact the Nedbank Recruiting Team at +27 860 555 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