Senior Data Engineer SQL Snowflake - Finance

Client Server Limited; City Of London; Hybrid; GBP 78,000 - 130,000; Full time

Job summary

Client Server Limited is seeking a Senior Data Engineer in London with a strong software engineering background to build and optimise data pipelines using Python, SQL, Dagster and Snowflake and DBT, while guiding best practices and improving data quality.

The role supports a Snowflake-based platform, migrating legacy systems, and collaborating with stakeholders to translate requirements into robust solutions; it offers hybrid working with three days in the London office and a supportive team

Qualifications

• Strong data engineering experience, ideally from a software development background.
• Expertise in SQL and Snowflake including query optimisation and performance tuning.
• Experience with data modelling, ELT pipelines and data integration.
• Proficient in Python and/or C#.
• Experience in the finance environment is desirable.
• Familiar with Dagster and DBT.
• Collaborative and pragmatic, able to work with stakeholders to deliver effective solutions.

Responsibilities

• Build and optimise reliable data pipelines and integrations.
• Shape a Snowflake-based data platform and migrate legacy systems.
• Collaborate with stakeholders and data owners to translate requirements into robust solutions.
• Mentor junior engineers and promote best practices across the team.

Skills

Data engineering

SQL

Python

C#

ELT pipelines

Data integration

Data modelling

Dagster

DBT

Snowflake

Tools

Snowflake

Dagster

DBT

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, ELT pipelines and data integration
• You’re coding 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