Engineering Lead - Snowflake - Data Engineering

Schroders; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A global investment manager is seeking an Engineering Lead to oversee Snowflake data engineering efforts. This role entails technical leadership and collaboration with various teams to ensure high-quality data service delivery. The ideal candidate will possess strong hands-on experience with Snowflake, excellent SQL skills, and expertise in Python. As a vital team member, you will also mentor developers, ensuring best practices are followed in data design and implementation. A flexible and collaborative work culture awaits you.

Qualifications

• Strong experience with Snowflake in an enterprise environment.
• Excellent SQL knowledge including query optimisation.
• Strong Python skills targeted at data engineering.

Responsibilities

• Lead the delivery of Snowflake-based data sources and pipelines.
• Mentor and manage engineering team growth.
• Contribute to design and implementation of data pipelines.

Skills

Snowflake

SQL / Snowflake SQL

Python

Data engineering best practices

Cloud platforms (Azure/AWS)

GitHub

Tools

Airflow

Docker

Kubernetes

Job description

London, United Kingdom

Job Description

Who we’re looking for

The Engineering Lead is a highly proficient, versatile and hands-on engineer with excellent communication skills. The Engineering Lead works across one or more engineering delivery teams to deliver high-quality data, quickly and reliably, with Snowflake as the core enterprise data platform.

The role requires a high level of competence and up-to-date knowledge of modern data engineering practices, cloud-native data platforms, and Snowflake design patterns. The Engineering Lead will also strive to create a collaborative engineering culture.

Within their area, the Engineering Lead will focus on the continued improvement of data design, implementation, and delivery. This will be achieved by ensuring that sustainable engineering practices are prioritised and embedded in the way teams work. As an expert in their data development field, the Engineering Lead will guide and mentor developers (including 3rd party partners), setting technical objectives and reviewing subsequent performance.

The Engineering Lead’s responsibilities and objectives are broadly split into two areas:

1. Snowflake-led data engineering excellence

Within their area, the Engineering Lead will focus on the continued improvement of data design, implementation and delivery on Snowflake. This will be achieved by ensuring that sustainable engineering practices are prioritised and embedded in the way teams work.

As the technical authority for Snowflake within their domain, the Engineering Lead will:

• Own and evolve Snowflake architectural patterns, standards and best practices
• Ensure data ingestion, transformation and modelling approaches are optimised for Snowflake
• Drive performance, cost optimisation and scalability within Snowflake workloads
• Embed strong governance, security and data quality practices aligned to Snowflake capabilities
• Guide and mentor developers (including 3rd-party partners), setting technical objectives and reviewing subsequent performance

The Engineering Lead will work collaboratively with both Enterprise Engineering and Technology to help shape the development culture at Schroders, contributing to:

• Standards, patterns and reference architectures for Snowflake-based data solutions
• Shared components and reusable Snowflake assets
• Improvements in how we deliver data engineering and software to the business

About Schroders

We’re a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future.

We have around 5,000 people on six continents. And we’ve been around for over 200 years but keep adapting as society and technology changes. What doesn’t change is our commitment to helping our clients, and society, prosper.

Technology at Schroders

There's a huge amount of change going on at Schroders. Technology's shaping our business more and more, so there are many opportunities waiting to be grabbed. And because we're a big financial player, we can put hefty backing behind good ideas.

We're a serious business – we have enormous responsibilities to our clients and shareholders. But just because we're suited and booted, that doesn't make us stuffy; our tech teams are friendlier and more informal than you might expect.

The base

We moved into our new HQ in the City of London in 2018. We’re close to our clients, in the heart of the UK’s financial centre. And we have everything we need to work flexibly.

The team

The Engineering Lead will work collaboratively with both Enterprise Engineering and Enterprise Software Engineering to help shape the development culture at Schroders, contributing to standards, patterns, practices, reference architectures, shared components, and other things that will improve the way we deliver engineering and software to the business.

The Data Engineering team owns:

• Snowflake-based data engineering for acquisition and integration of enterprise data assets
• The foundational data layers that underpin analytics and downstream data services

Engineering Leads also form part of the broader Enterprise Engineering function within Enterprise Technology, helping Schroders deliver predictable, high-quality and supportable software and data platforms.

What you’ll do

• Technically lead the delivery of Snowflake-based data sources, pipelines and data products
• Partner closely with business subject-matter experts and technology counterparts to deliver Snowflake-centric data solutions
• Lead the creation of reusable Snowflake patterns, templates and standards
• Act as a people manager and mentor, supporting the growth of your engineers
• Contribute to analysis, solution design, implementation and testing of Snowflake data pipelines
• Work within backlog-focused squads, contributing across the full delivery lifecycle
• Operate comfortably within agile delivery methodologies (Scrum or Kanban)

The knowledge, experience and qualifications you need

• Strong, hands-on Snowflake experience in an enterprise environment
• Excellent SQL / Snowflake SQL knowledge, including Query optimisation and performance profiling. Understanding of different SQL engines and optimisation trade-offs
• Strong Python skills within data engineering
• Practical understanding of ELT patterns, idempotency and data engineering best practices
• Experience implementing data quality frameworks
• Demonstrable competency in data modelling.
• Experience with cloud platforms, ideally Azure and/or AWS
• Strong knowledge of GitHub and shared codebases
• Good working knowledge of agile delivery practices

The knowledge, experience and qualifications that will help

• Snowflake certifications
• Experience with Airflow, dbt, Docker and/or Kubernetes
• Experience implementing or supporting Data Mesh-style approaches
• AI / ML or automation experience leveraging Snowflake data

What you’ll be like

• Friendly, approachable and collaborative, with a mentoring mindset
• Comfortable acting as a Snowflake technical authority
• Self-motivated with a continuous improvement mindset
• A pragmatic problem solver, comfortable with ambiguity
• Down-to-earth, honest and able to communicate opposing ideas constructively

We recognise potential, whoever you are

Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought facilitated by an inclusive culture will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer: you are welcome here regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background or any other protected characteristics

About Us

We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future.

We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper.

Job Info

• Job Identification 1125
• Job Category Technology
• Posting Date 02/06/2026, 05:30 PM
• Locations 1 London Wall Place, London, EC2Y 5AU, GB