Lead Data Engineer

Morgan McKinley; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Morgan McKinley in London is seeking a Lead Data Engineer to design and build data products on a Snowflake-centric platform, guiding engineers across London and India to deliver production-ready pipelines.

The role emphasizes hands-on leadership of Snowflake implementation, applying medallion architecture, and translating business requirements into robust data models and delivery plans.

Qualifications

• Experience leading data engineering teams.
• Hands-on Snowflake platform implementation.
• Proficient with Snowflake services: Snowpipe, Streams, Tasks, Snowpark.

Responsibilities

• Lead ingestion, transformation and data provisioning pipelines on a Snowflake-centric platform.
• Guide data engineers across London and India.
• Translate business requirements into robust designs and delivery plans.
• Apply medallion architecture from raw to curated to consumption-ready layers.

Skills

Snowflake platform leadership

Advanced SQL

Python

DBT

Team leadership

Data architecture

Tools

Snowflake

Snowpipe

Streams and Tasks

Snowpark

Job description

I'm currently looking for a Lead Data Engineer who will play a key role in leading the design and building of data products on the clients Snowflake platform. You will lead data engineers across London and India, turning their architecture and engineering standards into well-engineered, production‑ready pipelines and data products.

It is key that you have led teams and built data platforms (Snowflake platform).

Job Overview

Lead the hands‑on design and build of ingestion, transformation and data provisioning pipelines on our Snowflake-centric platform.

Hands‑on experience leading Snowflake platform implementation, ideally in an asset management/Professional services setting.

Apply the medallion architecture in practice, promoting data from raw to curated to consumption‑ready layers in line with agreed standards.

Translate business and data product requirements into robust technical designs, data models and delivery plans.

Snowflake, including Snowpipe, Streams and Tasks, Dynamic Tables and Snowpark

Advanced SQL and Python

Data transformation frameworks such as DBT