Data Engineer

Data Engineer - Hybrid (1 Year + Contract) ( Hybrid work model: 3 days onsite and 2 days offsite (It could change)). This is a consulting opportunity for a Data Engineer who will 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 Bank's 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. Key Responsibilities: 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. Essential Qualifications: Matric / Grade 12 and NQF Level 6 Diploma in Computer Science or Information Technology Preferred Certifications: Cloud (AWS) DevOps or Data Engineering Data Science certifications (Coursera, Udemy, SAS, Microsoft) Experience Required: 7 + years total experience 5 years focused on Data 5+ years development experience Technical Skills: Advanced SQL and data analysis Data warehousing and ETL tools Cloud data engineering (AWS) Programming: Python, Java, SQL Databases: PostgreSQL, MS SQL, DB2, and MongoDB Agile delivery Behavioural Competencies: Decision making, Influencing, Communication, Innovation, Continuous learning and Building partnerships