Data Platform Lead - Hybrid, London

TRIA; Greater London; Hybrid; GBP 86,000 - 105,000; Full time

Benefits offered by this job

Bonus

Excellent Benefits

Job summary

TRIA is seeking a Data Engineering Tech Lead in London, offering a hybrid arrangement with two days onsite. The role combines hands-on engineering with leadership, shaping the Enterprise Data Platform and setting engineering standards across a small squad.

You will design scalable pipelines using Python, Snowflake, and dbt/Airflow, mentor engineers, and influence platform evolution while collaborating with Architecture and Cloud teams in an AWS-focused environment.

Qualifications

• Hands-on data engineering leadership with ability to design scalable data pipelines.
• Experience with Snowflake and Python in production.
• Experience mentoring engineers and shaping engineering standards.
• Familiarity with dbt and Airflow.
• Cloud experience, preferably AWS.

Responsibilities

• Lead the technical direction of the Data Engineering squad and help define engineering standards and best practices.
• Design and build scalable data pipelines using Python, SQL and Snowflake.
• Work closely with Architecture and Engineering to solution complex data problems.
• Help evolve the wider Enterprise Data Platform, including data modelling, integrations, performance and reliability.
• Work with cloud technologies (AWS) to move and process data into Snowflake.
• Mentor and support other data engineers, helping raise engineering standards across the team.
• Have a genuine say in how the platform evolves rather than simply delivering against a predefined technical spec.

Skills

Mentoring

Technical leadership

Communication

Problem solving

Tools

Python

Snowflake

dbt

Airflow

AWS

Job description

TRIA is seeking a Data Engineering Tech Lead in London, offering a hybrid arrangement with two days onsite. The role combines hands-on engineering with leadership, shaping the Enterprise Data Platform and setting engineering standards across a small squad.

You will design scalable pipelines using Python, Snowflake, and dbt/Airflow, mentor engineers, and influence platform evolution while collaborating with Architecture and Cloud teams in an AWS-focused environment.