Analytics Engineer
Tria Recruitment
Overview
As an Analytics Engineer, you will build scalable data pipelines and curated datasets to enable reliable reporting and self-service analytics. You’ll work with BI Developers and business stakeholders to translate requirements into robust data solutions, focusing on scalable ETL/ELT design and data quality. You’ll optimise data models and backend structures to support performant dashboards, while contributing to the evolution of the data platform in a collaborative, forward-thinking team. This role offers the chance to shape data architecture using modern cloud technologies and best practices.
Responsibilities- Design, build and maintain scalable ETL/ELT pipelines delivering high-quality data
- Develop curated, business-ready datasets to support reporting and self-service analytics
- Optimise data models, SQL queries and pipeline performance for efficiency and scale
- Implement data quality, monitoring and governance controls to ensure trusted data
- Collaborate with BI Developers to support performant visualisations through backend models
- Translate business requirements into robust technical solutions for stakeholders
- Contribute to continuous improvement of the data platform and tooling
- Strong SQL skills with data model optimisation
- Experience designing and maintaining ETL/ELT pipelines
- Experience with cloud data platforms (AWS preferred)
- Exposure to data warehouses and data lakes
- Understanding of workflow orchestration and automation tools
- Python experience (including PySpark) beneficial but not essential
- Exposure to BI platforms (Power BI, Tableau, QuickSight) and backend data modelling for reporting
- Strong communication with technical and non-technical stakeholders
- Collaborative mindset
- Interest in modern data engineering practices and emerging technologies
- SQL
- ETL/ELT design
- Cloud data platforms (AWS)
Reference: WJ-747_30150303