Lead Data Engineer

Tria; City Of London; Hybrid; GBP 86,000 - 105,000; Full time

Benefits offered by this job

Bonus

Excellent benefits

Job summary

Tria is seeking a Lead Data Engineer in London on a hybrid working model. You will lead a data engineering squad, shaping the technical direction while actively contributing to engineering work.

The role focuses on building scalable pipelines with Python, SQL, and Snowflake, mentoring team members, and partnering with Architecture to evolve the enterprise data platform.

Qualifications

• Strong Python and Snowflake experience.
• Experience mentoring or leading engineers.
• Experience with dbt, Airflow or similar data tooling.
• Strong data modelling and modern data platform knowledge.
• Experience with AWS or other major cloud platforms.
• Ability to translate business problems into technical solutions.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Lead the technical direction of the Data Engineering squad and shape engineering standards.
• Design and build scalable data pipelines using Python, SQL and Snowflake.
• Collaborate with Architecture and Engineering to solve complex data problems.
• Evolve the Enterprise Data Platform, including modelling, integrations, performance and reliability.
• Work with AWS to move data into Snowflake and optimize data movement.
• Mentor and support other data engineers to raise team standards.
• Influence platform evolution beyond predefined technical specs.

Skills

Python

Snowflake

dbt

Airflow

Mentoring

Leadership

AWS

Data modelling

Data architecture

Job description

Lead Data Engineer

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

Why join?

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.