Hybrid Data Engineer: Build a Modern Snowflake/dbt Platform

TRIA; Glasgow; Hybrid; GBP 55,000 - 85,000; Full time

Job summary

TRIA in Glasgow is seeking an experienced Data Engineer to join its expanding Data Team and help shape the next-generation data platform in a global organisation.

You will design, build and maintain ELT pipelines using Snowflake and dbt, with Python and SQL, and collaborate with analysts, scientists and stakeholders to deliver trusted data products that empower the business. The role requires 5+ years in data engineering and a practical software engineering mindset.

Qualifications

• 5+ years' commercial experience in data engineering.
• Experience with modern cloud data environments and data governance.
• Strong hands-on experience with Snowflake, dbt, Python and CI/CD.

Responsibilities

• Designing, building and supporting data pipelines and data products across a modern cloud data environment.
• Building and maintaining ELT/data transformation pipelines using dbt and Snowflake.
• Developing robust and scalable data pipelines using Python and SQL.
• Maintaining data models to support analytics, reporting and data science.
• Working with Snowflake to optimise performance and costs.
• Implementing data quality checks, automated testing and monitoring.
• Developing and maintaining CI/CD pipelines and applying software engineering best practices to data development.
• Using Git and version control, code reviews and automated deployment processes.
• Integrating data from internal and external sources and supporting data governance.

Skills

Data pipelines

SQL

Python

Data modeling

Git & CI/CD

Agile

Tools

Snowflake

dbt

Azure

Microsoft Fabric

PySpark

Airflow

Dagster

Prefect

Job description

TRIA in Glasgow is seeking an experienced Data Engineer to join its expanding Data Team and help shape the next-generation data platform in a global organisation.

You will design, build and maintain ELT pipelines using Snowflake and dbt, with Python and SQL, and collaborate with analysts, scientists and stakeholders to deliver trusted data products that empower the business. The role requires 5+ years in data engineering and a practical software engineering mindset.