About the role
The Data Engineering Senior Analyst designs and maintains scalable data pipelines and ETL/ELT processes to support business intelligence and AI/ML applications. This role focuses on translating complex business requirements into robust data models while ensuring data governance and platform integrity through cross-functional collaboration.
ConsultingOnsiteOther Functions
Key Responsibilities
- Design, build, and maintain scalable data pipelines and workflows that power business intelligence, analytics, and AI/ML applications
- Translate medium to large-scale business requirements into robust data models, ETL/ELT processes, and integrated data solutions
- Analyse existing data systems and processes to identify inefficiencies and recommend improvements that drive performance and reliability
- Act as a subject matter expert on data engineering best practices — supporting and guiding junior team members and cross-functional stakeholders
- Collaborate with data scientists, analysts, and business teams to ensure data is accessible, accurate, and fit for purpose
- Contribute to data governance, documentation, and data quality frameworks to ensure long-term platform integrity
- Support stakeholder engagement by clearly communicating technical solutions and trade-offs to non-technical audiences
Requirements
- Minimum 2 years of experience in data engineering or a closely related field
- Strong proficiency in Business Process Analysis — ability to map data flows, identify gaps, and design solutions around real business needs
- Hands-on experience in data pipeline design and development (ETL/ELT, batch and/or streaming)
- Solid understanding of data modelling, data warehousing concepts, and database management
- Bachelor's Degree in Computer Science, Information Systems, Data Science, or a relevant field
- Experience in requirements gathering and analysis — working directly with stakeholders to define data needs
- Familiarity with business process design and how data architecture supports operational workflows
- Exposure to data visualisation tools (e.g. Tableau, Power BI) — ability to support or build reporting layers
- Understanding of process improvement methodologies within a data or technology context
- Strong stakeholder engagement skills — comfortable presenting to both technical and business audiences
- Interest or experience in data strategy or business model design