Developer, Data Engineer, Software Development

Position: Developer-2
Location: Fairland

Description

The Developer will support the Capability Manager in building and maintaining FNB’s enterprise‑grade data pipelines, API integrations, and intelligent digitisation solutions. The role is responsible for hands‑on engineering delivery—developing scalable data ingestion pathways, secure APIs, and AI/ML‑driven automation models that extract structured information from documents and images.
The Developer will work within cross‑functional squads to deliver high‑quality, production‑ready code aligned to FNB’s engineering standards, security policies, and regulatory requirements.

Key Responsibilities

Data Pipeline Development

Design, build, test, and deploy high‑performance data pipelines (batch, near‑real‑time, streaming).

Implement data quality validations, lineage tracking, and metadata/catalogue integration.

Optimise dataflows for performance, scalability, observability, and cost efficiency.

Automate ingestion from structured, semi‑structured, and unstructured sources.

API Engineering & Integration

Develop secure, reusable, well‑documented REST/Graph

QL/gRPC APIs.

Implement API lifecycle processes including versioning, testing, publishing, and monitoring.

Integrate APIs with internal systems, digital channels, and partner ecosystems.

Apply FNB API governance standards, security patterns, and architectural principles.

Intelligent Digitisation (AI/ML, OCR, CV)

Build and fine‑tune OCR, computer vision, and LLM‑based extraction models.

Develop intelligent agents capable of performing validation, classification, and contextual reasoning.

Implement pipelines for structured data extraction from:k statements

Proof of address

Handwritten documents

Assist with accuracy testing, model retraining loops, and MLOps monitoring.

Cloud Engineering, Dev Ops & MLOps

Develop solutions for Azure/AWS/GCP cloud environments.

Implement CI/CD pipelines, automated testing, containerisation, and orchestration (Docker/Kubernetes).

Apply infrastructure‑as‑code (IaC) where required (e.g., Terraform, ARM, Cloud Formation).

Support MLOps pipelines for packaging, deploying, and monitoring models.

Technical Quality & Engineering Practices

Write clean, maintainable code following FNB’s coding, security, and architectural guidelines.

Conduct code reviews, peer validations, and participate in design discussions.

Ensure SLA‑aligned monitoring, alerting, observability, and operational excellence.

Support the Capability Owner in maintaining the engineering standards playbook.

Collaboration & Agile Delivery

Work within Agile squads (Scrum/Kanban) to deliver sprint commitments.

Translate business and capability requirements into technical solutions.

Collaborate with architecture, security, risk, compliance, and business stakeholders.

Support backlog refinement, estimation, solution design, and technical documentation.

Security, Risk & Compliance

Implement secure coding practices, encryption standards, and IAM patterns.

Adhere to POPIA, internal audit, and regulatory requirements.

Apply responsible AI principles when working with document extraction models.

Maintain documentation required for risk management and IT governance.

Required Technical Skills

Core Engineering Skills

Proficiency in Python
, Java
, or Scala for data and API engineering.

Experience with modern data engineering tools such as:
Spark, Kafka, Airflow, Databricks, Azure Data Factory

API frameworks and standards:
REST, Graph

QL, gRPC
, OpenAPI/Swagger

Cloud platforms (one or more):
Azure, AWS, GCP

Containerisation & orchestration:
Docker, Kubernetes

CI/CD and Dev Ops tooling (Git, Jenkins, Azure Dev Ops, Argo, etc.)

AI/ML & Intelligent Digitisation

OCR frameworks:
Tesseract, Azure OCR, AWS Textract, Google Vision

Computer vision libraries:
OpenCV, Tensor Flow, Py Torch

LLM/agent frameworks:
Lang Chain, Hugging Face, OpenAI APIs

Experience with data extraction from complex financial/ is a strong advantage.

Data Technologies

SQL/No

SQL databases

Data modelling & ETL design

Logging & monitoring:
ELK, Prometheus, Grafana, Splunk

Professional & Behavioural Competencies

Strong analytical and problem‑solving skills.

Ability to work independently and within collaborative teams.

Clear and structured communicator.

High attention to…