Analytics Engineer

Tria Recruitment; Greater London; On-site; GBP 54,000 - 94,000; Full time

Job summary

Tria Recruitment in Greater London is seeking an Analytics Engineer to design, build and maintain scalable ETL/ELT pipelines and curated data sets for reporting and self-service analytics.

The role focuses on SQL data modelling, data quality and performance tuning, with exposure to AWS, PySpark and BI tools (Power BI/Tableau/QuickSight). Collaborative with BI developers and business stakeholders to deliver trusted data assets.

Qualifications

• Strong SQL skills with experience building and optimising data models.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience with cloud data platforms, preferably AWS.
• Exposure to data warehousing, data lakes and modern data architecture.
• Understanding of workflow orchestration and automation tools.
• Python experience (PySpark) is beneficial but not essential.
• Exposure to BI platforms (Power BI/Tableau/QuickSight) and backend data models.

Responsibilities

• Design, build and maintain scalable ETL/ELT pipelines delivering high-quality data.
• Develop curated datasets supporting reporting, dashboards and self-service analytics.
• Optimize data models, SQL queries and pipeline performance.
• Implement data quality, monitoring and governance controls.
• Collaborate with BI developers to support performant visualisations.
• Translate business requirements into robust technical data solutions.
• Contribute to continuous improvement of the data platform and tooling.

Skills

SQL

ETL/ELT design

Python

PySpark

AWS

Data modelling

Data warehousing

BI concepts

Workflow orchestration

Communication

Tools

Power BI

Tableau

QuickSight

Job description

Salary: £54,000 - 94,000 per year

Requirements:

• Strong SQL skills with experience building and optimising data models.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with cloud data platforms, with AWS preferred.
• Exposure to data warehousing, data lakes and modern data architecture.
• Understanding of workflow orchestration and automation tools.
• Python experience, including PySpark, is beneficial but not essential.
• Exposure to BI platforms such as Power BI, Tableau or QuickSight, with an understanding of how backend data models support reporting and visualisation.
• Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• A genuine interest in modern data engineering practices and emerging technologies.

Responsibilities:

• Design, build and maintain scalable ETL/ELT pipelines that deliver reliable, high-quality data.
• Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics.
• Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability.
• Implement data quality, monitoring and governance controls to ensure trusted, accurate data.
• Collaborate with BI Developers to build backend data models that support performant visualisations.
• Work with business stakeholders to understand requirements and translate them into robust technical solutions.
• Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices.

Technologies:

• AWS
• Backend
• Business Intelligence
• Cloud
• ETL
• Support
• Power BI
• Python
• PySpark
• SQL
• Tableau
• DevOps

More:

We are offering a permanent Analytics Engineer role in Greater London with a salary of 50,000.00 to 55,000.00 per annum. You will join a high-performing, highly collaborative Business Intelligence team within a business that genuinely invests in its people. This backend-focused role centres on SQL, data modelling and ETL/ELT development, with the opportunity to work closely with experienced BI professionals, influence the evolution of our data platform, and continue developing your technical and professional skills in a supportive environment. This is not a dashboard or reporting development position.