An experienced Senior Data Engineer is required to support and scale data engineering pipelines that power Product Health dashboards across multiple business units.
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.
RequirementsKey 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
Desired Skills:
- ETL
- POWER BI
- AWS
- SQL
- data modelling
- data governance
Desired Qualification Level:
- Diploma
About The Employer: