Data Engineer

TRIA; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

TRIA is seeking a Data/Analytics Engineer to join its high-performing Business Intelligence team, building scalable data solutions for reporting, dashboards, and self-service analytics.

You will design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions using modern cloud technologies in a collaborative environment.

Qualifications

• Strong SQL skills with experience building and optimising data models.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with cloud data platforms (AWS preferred).
• Exposure to data warehousing and modern data architecture.
• Understanding of workflow orchestration and automation tools.

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.
• Collaborate with BI Developers to build backend data models that support performant visualisations.
• Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices.

Skills

SQL

ETL/ELT pipelines

Cloud platforms

Data modelling

Python PySpark

BI visualization tools

Workflow orchestration

Data quality

Tools

Power BI

Tableau

QuickSight

Job description

We're looking for an Data/ Analytics Engineer to join our client's high-performing Business Intelligence team, helping to build scalable, high-quality data solutions that power reporting, dashboards and self-service analytics across the business.

Working closely with BI Developers and business stakeholders, you'll design and optimise ETL/ELT pipelines, develop curated data models, and translate business requirements into reliable backend data solutions. This is a fantastic opportunity for someone who enjoys solving complex data challenges and wants to work with modern cloud technologies in a collaborative, forward-thinking environment.

What you'll be doing

• 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.
• Collaborate with BI Developers to build backend data models that support performant visualisations..
• Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices.

What we're looking for

• Strong SQL skills with experience building and optimising data models.
• Experience designing and maintaining ETL/ELT pipelines.
• Experience working with cloud data platforms (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.
• A genuine interest in modern data engineering practices and emerging technologies.

The Team

You'll be joining a highly collaborative and engaging team within a business that genuinely invests in its people. Alongside working on modern data technologies, you'll have the opportunity to influence the evolution of the data platform, work closely with experienced BI professionals, and continue developing both your technical and professional skills in a supportive environment.