Analytics Engineer: Build Scalable ETL/ELT Pipelines

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

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.