Lead Data Engineer

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

London | Hybrid (2 Days) | Up to £95,000 + Bonus + Excellent Benefits

We're excited to be working exclusively with a leading international retailer, a group that is investing heavily in its data platform and looking for a Data Engineering Tech Lead to help shape the next stage of its Enterprise Data Platform.

This is a genuinely hands-on technical leadership role. You'll sit within a small data engineering squad, leading the technical direction while still getting stuck into the engineering yourself.

What you'll be doing

• 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. Don't worry if you come from a different cloud platform!
• 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.

What we're looking for

We're looking for someone who is still very hands-on but has started to take on more technical leadership and solution design responsibility.

You'll ideally have:

• Strong commercial experience with Python & Snowflake
• Experience mentoring or technically leading other engineers
• Experience with dbt, Airflow or similar data engineering tooling
• A good understanding of data modelling and modern data platform architecture
• Experience working with AWS (ideally) or another major cloud platform
• The ability to take a business problem and turn it into a sensible technical solution
• Strong communication skills and the ability to explain technical concepts clearly to non-technical stakeholders

You'll be joining a well-established business at a hugely exciting point in its data journey, with the opportunity to have a real influence on the architecture and direction of the platform.

There's a strong mix of technical ownership, hands-on engineering and leadership, without moving you completely away from the technology.