Senior Data Engineer SQL Snowflake - Finance

Client Server; Greater London; Hybrid; GBP 110,000 - 130,000; Full time

Benefits offered by this job

Pension

Private medical insurance with 24h GP

Enhanced parental leave

25 days annual leave

Training and development funding

Job summary

Client Server in London is seeking a Senior Data Engineer (SQL Snowflake) to build and optimise data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C# and to shape a Snowflake-based data platform while modernising legacy systems.

You'll collaborate with stakeholders, mentor junior engineers and contribute to high data quality and reliable delivery in a hybrid London work setup with three days in the office.

Qualifications

• Must have strong data engineering experience with software development background.
• Expertise with SQL and Snowflake, including query optimisation.
• Experience with data modelling, ETL pipelines and data integration.
• Proficient in Python and/or C#.
• Finance industry experience preferred.
• Familiar with Dagster and DBT.
• Collaborative, pragmatic, and able to mentor others.

Responsibilities

• Build and optimise data pipelines for the platform.
• Collaborate with data owners to translate business requirements into robust solutions.
• Champion data quality, integrity and reliability.
• Mentor junior engineers and promote best practices.

Skills

Data engineering

SQL

Snowflake

Python

C#

Dagster

DBT

Data modelling

ETL pipelines

Finance domain

Tools

Snowflake

DBT

Dagster

Job description

Senior Data Engineer (SQL Snowflake) London / WFH to £130k

Are you a technologist Data Engineer with a good knowledge of software engineering best practices?

You could be progressing your career in a senior, hands‑on Data Engineer role at a tech driven, global Asset Manager with multiple billions of dollars under management.

As a Senior Data Engineer you'll build and optimise reliable data pipelines and integrations using Python, SQL, Dagster, Snowflake, DBT and C#, while leveraging agentic AI tooling to accelerate delivery. You'll play a key role in shaping a new Snowflake based data platform, influencing architecture and technology choices while modernising legacy systems and migrating them to the new platform.

Collaborating closely with stakeholders and data owners, you'll turn business requirements into robust solutions, troubleshoot complex data challenges and ensure high standards of data quality, integrity and reliability. You'll also mentor junior engineers and help shape best practice across the team, with your work directly supporting the organisation's ability to deliver better outcomes for clients and investment performance.

Location / WFH:

There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities.

About you:

• You have strong experience in data engineering, ideally from a software development background
• You have expertise with SQL and Snowflake (including query optimisation and performance tuning)
• You have experience with data modelling, ETL pipelines and data integration
• You can code with Python and / or C#
• You have experience within a finance environment
• You're familiar with Dagster and DBT
• You're collaborative and pragmatic, comfortable working directly with stakeholders and data users to understand problems and deliver effective solutions
• You have experience of enabling others through technical leadership including mentoring, coaching and training

What's in it for you:

• Salary to £130k
• Pension
• Private medical insurance including 24 hour GP access
• Enhanced parental leave policy
• 25 days annual leave
• Ongoing training and development and financial support for courses