Senior Data Engineer - SQL/Snowflake | Hybrid London

Client Server Ltd.; Greater London; Hybrid; GBP 100,000 - 130,000; Full time

Benefits offered by this job

Pension

Private medical insurance

24h GP access

Enhanced parental leave

25 days annual leave

Training and development funding

Job summary

Client Server Ltd. in London is seeking a Senior Data Engineer to design and optimise data pipelines using Python, SQL, Snowflake and modern tooling. You will help shape a Snowflake-based data platform, influence architecture and migrate legacy systems, while delivering robust, scalable solutions for investment clients.

The role combines hands-on data engineering with mentoring and collaboration across stakeholders, with a hybrid working model and strong opportunities for career development.

Qualifications

• Experience in data engineering from a software development background.
• Proficiency with SQL and Snowflake (including query optimisation and performance tuning).
• Experience with data modelling, ELT pipelines and data integration.
• Code with Python and/or C#.
• Familiar with Dagster and DBT.
• Collaborative and pragmatic, work with stakeholders and data users to deliver solutions and enable data driven decisions.

Responsibilities

• Build and optimise data pipelines and integrations.
• Shape a Snowflake-based data platform, influencing architecture and technology choices.
• Collaborate with stakeholders to translate business requirements into robust solutions.
• Mentor junior engineers and promote best practices across the team.
• Ensure data quality, integrity and reliability across systems.

Skills

Data engineering

Mentoring

Stakeholder collaboration

Software engineering

Tools

SQL

Snowflake

Python

C#

Dagster

DBT

Job description

Client Server Ltd. in London is seeking a Senior Data Engineer to design and optimise data pipelines using Python, SQL, Snowflake and modern tooling. You will help shape a Snowflake-based data platform, influence architecture and migrate legacy systems, while delivering robust, scalable solutions for investment clients.

The role combines hands-on data engineering with mentoring and collaboration across stakeholders, with a hybrid working model and strong opportunities for career development.