Senior Data Engineer Sql Snowflake - Finance

Client Server; Greater London; Hybrid; GBP 117,000 - 143,000; Full time

Benefits offered by this job

Pension

Private medical insurance

Enhanced parental leave

25 days annual leave

Training and course funding

Job summary

Client Server is seeking a Senior Data Engineer (SQL Snowflake) in London with a hybrid WFH option. You will build and optimise data pipelines using Python, SQL, Dagster, Snowflake, DBT and C#, driving a new Snowflake-based platform while modernising legacy systems.

You will mentor engineers, work with stakeholders, and ensure high data quality to support investment performance. Hybrid model includes three days in the London office per week.

Qualifications

• Strong data engineering background with software development practices.
• Expertise in SQL and Snowflake with query optimisation.
• Experience with data modelling and ELT pipelines.
• Proficient in Python and/or C#.
• Experience in finance/asset management is a plus.
• Familiar with Dagster and DBT tooling.
• Collaborative, proactive and able to mentor others.

Responsibilities

• Build and optimise reliable data pipelines and integrations.
• Contribute to shaping a Snowflake-based data platform.
• Collaborate with stakeholders to translate requirements into solutions.
• Mentor junior engineers and promote best practices.
• Ensure data quality, integrity and reliability across systems.

Skills

SQL

Snowflake

Python

C#

Data modelling

ETL pipelines

Dagster

DBT

Stakeholder collaboration

Tools

Snowflake

Dagster

DBT

Python

C#

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 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