Hybrid Analytics Engineer: Build Scalable Data Pipelines

Tria; Woking; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive benefits package

Job summary

Tria is seeking an Analytics Engineer to help build robust data infrastructure and deliver actionable insights. You will translate business needs into scalable data solutions and partner with cross-functional teams to drive data-led decision making.

The role focuses on developing data pipelines, modelling data in Snowflake, and ensuring performance, reliability, and governance within a hybrid Woking-based setup. A strong emphasis on collaboration and career progression is expected.

Qualifications

• Strong SQL and production-level Python experience.
• Experience with cloud data platforms and data modelling tools (e.g. dbt).
• Solid understanding of ELT pipelines and data engineering principles.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and stakeholder management.

Responsibilities

• Build and maintain data pipelines using Python across multiple data sources.
• Design and develop dimensional data models in a cloud data platform (e.g. Snowflake).
• Partner with BI teams to deliver insights via reporting tools.
• Optimise performance, reliability, and cost efficiency of the data platform.
• Implement best practices in CI/CD, data governance, and quality.
• Collaborate with stakeholders across the organisation.

Skills

SQL

Python

Cloud platforms

Data modelling (dbt)

ELT pipelines

Data engineering principles

Analytical thinking

Communication

Tools

dbt

Job description

Tria is seeking an Analytics Engineer to help build robust data infrastructure and deliver actionable insights. You will translate business needs into scalable data solutions and partner with cross-functional teams to drive data-led decision making.

The role focuses on developing data pipelines, modelling data in Snowflake, and ensuring performance, reliability, and governance within a hybrid Woking-based setup. A strong emphasis on collaboration and career progression is expected.