The role focuses on maintaining, enhancing, and optimising data pipelines to ensure high data integrity, reliability, and performance, enabling accurate reporting and executive insights.

You will collaborate with Product Heads, Analysts, Architects, and business stakeholders to evolve and strengthen the data ecosystem.

Requirements

Key Responsibilities

Data Pipeline Development & Maintenance

• Design, build, and maintain scalable ETL/ELT pipelines
  

• Develop solutions within AWS environments
  

• Ensure pipelines are secure, monitored, and production-ready
  

• Implement logging, alerting, and performance monitoring
  

Data Modelling & Architecture

• Design and optimise data models (normalised and denormalised)
  

• Align with enterprise data architecture standards
  

• Support analytics and reporting requirements
  

Data Quality & Governance

• Ensure data accuracy, completeness, and consistency
  

• Support governance requirements (classification, retention, privacy)
  

• Perform unit and integration testing
  

Reporting & Visualisation Support

• Support and enhance Power BI dashboards
  

• Contribute to executive reporting
  

• Develop and implement new KPIs
  

Stakeholder Collaboration

• Translate business requirements into scalable technical solutions
  

• Contribute to solution documentation
  

• Support onboarding and knowledge transfer
  

Documentation & Handover

• Maintain architecture diagrams and data flow documentation
  

• Document transformation logic and implementation guidelines
  

• Provide structured handover to internal teams
  

Deliverables

• Technical solution design documentation
  

• Production-ready data pipelines
  

• Optimised data models and schemas
  

• Monitoring and logging frameworks
  

• Complete documentation and handover packs
  

Minimum Requirements

• Bachelor’s Degree or National Diploma in Computer Science, Information Systems, Data Science, Engineering, Mathematics/Statistics, or related field
  

• 5+ years’ experience as a Data Engineer in enterprise environments
  

• Strong ETL/ELT design and optimisation experience
  

• Experience with AWS data services
  

• Advanced SQL and data modelling expertise
  

• Experience supporting BI tools (Power BI advantageous)
  

• Understanding of data governance and data quality principles
  

• Experience working in agile, cross-functional teams