Cloud Data Engineer (Mid-Senior)_Banking

EMPLOYMENT TYPE :

12-month contract with extension possibilities

COMPANY :

A leading service provider of comprehensive IT solutions.

LOCATION : Cape Town

WORKING MODEL :

Hybrid (3 days in office, 2 days remote)

JOB OVERVIEW :

We are seeking an experienced Cloud Data Engineer to join our Vito data engineering team for one of our clients launching a new bank. You will play a pivotal role in designing, building, and maintaining data infrastructure and pipelines that underpin the banking products (e.g. retail banking, credit, payments, deposits), regulatory reporting, risk analytics, fraud detection, and business intelligence. You will collaborate with data scientists, analysts, compliance, product, and operations teams to deliver high-quality, secure, auditable data assets.

You will need to balance cloud engineering best practices with the stringent requirements of the financial industry : governance, security, compliance, traceability, and performance.

DESCRIPTION OF POSITION :

Data Architecture & Pipeline Development

• Design, build, and maintain robust data pipelines (batch, micro-batch, streaming) on cloud platforms to ingest, transform, integrate, and deliver data from diverse source systems (transaction systems, core banking, payment gateways, external feeds).
• Architect data repositories and data product layers (e.g. raw, cleaned, curated, aggregated) to support analytics, reporting, and machine learning models.
• Ensure data pipelines meet latency, throughput, and SLA requirements particularly in transactional / real-time / near real-time contexts (e.g. fraud detection, alerts).
• Implement data modelling (star, snowflake, dimensional, normalized) suited for both operational and analytical workloads.
• Design and enforce data partitioning, indexing, sharding strategies for performance and scalability.

Banking / Financial Domain Integration

Governance, Compliance & Auditability

Quality, Monitoring & Operations

Participate in on-call / standby rotations to support production stability.

Document architecture, pipeline logic, data contracts, and operational runbooks.

Collaboration & Mentorship

Mentor junior engineers, perform peer reviews, and propagate best practices.

Provide regular progress updates, contribute in planning sessions (e.g. agile / scrum), and help manage technical debt.

KNOWLEDGE AND SKILLS :

QUALIFICATIONS REQUIRED :

EXPERIENCE REQUIRED :

Familiarity with data modelling (dimensional, normalized, hybrid), partitioning, indexing, performance tuning.