Data Engineer

• Hybrid: 3 days a week onsite @ Nedbank, 2 days a week offsite (but can change)

To contribute towards Loyalty and Rewards business success by profiling, analysing, extracting, transforming, and loading data. The Data Engineer leverages data expertise and technologies, aligned with the Nedbank Data Architecture Roadmap, to deliver fit-for-purpose data products, support enterprise data initiatives, and enhance data infrastructure to enable advanced analytics, machine learning, and artificial intelligence.

• Maintain, clean, and optimise operational and analytics databases.
• Build and manage secure, scalable data infrastructure (on‑premise and cloud).
• Develop and maintain data pipelines (ingestion, provisioning, streaming, APIs).
• Transform data into common data models for reporting and analytics.
• Support big data and streaming technologies (e.g. Kafka).
• Collaborate with cross‑functional teams in agile squads.
• Ensure data quality, governance, performance, and optimisation.
• Develop APIs to support a data‑driven organisation.

• Matric / Grade 12
• NQF Level 6 qualification in Computer Science or Information Technology

• Cloud (AWS)
• Dev Ops or Data Engineering
• Data Science certifications (Coursera, Udemy, SAS, Microsoft)

• 7–10 years total experience
• 5+ years development experience
• 3–5 years focused on data

• Advanced SQL and data analysis
• Data warehousing and ETL tools
• Cloud data engineering (AWS)
• Programming:
  Python, Java, SQL
• Databases:
  Postgre
  
  SQL, MS SQL, DB2, MongoDB
• Agile delivery

• Decision making
• Influencing
• Communication
• Innovation
• Continuous learning
• Building partnerships