Data Engineer

TRIA; Slough; Hybrid; GBP 41,000 - 51,000; Full time

Job summary

TRIA is seeking a Data Engineer for a permanent hybrid role in London. You will build and optimise Azure data pipelines, support migration to Azure Data Lake, and collaborate with global teams in an agile environment.

The ideal candidate has strong SQL + ETL/ELT experience, exposure to DBT and Python or T-SQL, and familiarity with Azure; Databricks, Spark and CI/CD are a plus. Up to £46,000 salary, sponsorship not available.

Qualifications

• Strong SQL and ETL/ELT experience.
• Exposure to DBT.
• Proficiency in Python or T-SQL.
• Familiarity with cloud platforms, preferably Azure.

Responsibilities

• Build and optimise Azure data pipelines (ADF, Databricks).
• Support migration into Azure Data Lake.
• Drive data quality, governance and performance.
• Collaborate with global teams in an agile environment.

Skills

SQL + ETL/ELT

DBT

Python

T-SQL

Azure

Tools

Databricks

Spark

CI/CD

Big data

Job description

Data Engineer / Permanent / London

Hybrid - 3 days onsite / up to £46,000

This is a fantastic opportunity to join a leading global organisation with a strong international presence, dedicated to delivering customer-centric services while investing in innovation, technology, and growth. The role offers the chance to further develop your skills and gain professional certifications, working alongside experienced professionals in a collaborative and supportive environment designed to support your progression.

What you’ll do:

• Build and optimise Azure data pipelines (ADF, Databricks)
• Support migration into Azure Data Lake
• Drive data quality, governance, and performance
• Collaborate with global teams in an agile environment

What you’ll bring:

• Strong SQL + ETL/ELT experience
• Exposure to DBT
• Knowledge of Python / T-SQL
• Exposure to cloud platforms (Azure preferred)

Nice to have:

Databricks, Spark, CI/CD, big data

This is a great opportunity to join a high-impact data team in a global organisation and shape how data is used across the business.

*Please note that unfortunately the client cannot offer sponsorship for this position.