Data Engineer Python SQL Spark

Client Server Limited; Greater London; On-site; GBP 130,000 - 160,000; Full time

Benefits offered by this job

Bonus potential

Fund share

Training budget

Family benefits

Sports clubs

Private healthcare

Job summary

Client Server Limited in London is seeking a Data Engineer to join a Hedge Fund team. You will design and transform raw data from multiple sources, build robust data pipelines, and deliver insights for trading desks using Python, SQL, Spark and Azure Databricks.

This full‑time, office‑based role in Soho offers a strong bonus structure, personal development, and a comprehensive benefits package designed for long‑term growth.

Qualifications

• First class STEM degree from a top-tier university.
• Experience in a hedge fund or investment bank is highly desirable.
• Strong skills in Python, SQL, Spark and Azure Databricks.
• Good knowledge of data management principles and best practices.
• Experience with data analysis and data visualization techniques.

Responsibilities

• Transform raw data from multiple sources into usable insights for trading desks.
• Develop and maintain data pipelines to ensure data quality and availability.
• Collaborate with technology teams to implement and enhance data systems.
• Create data dictionaries and documentation for data content and processes.
• Keep up to date with industry trends and new data tooling.

Skills

Python

SQL

Spark

Azure Databricks

C#

Education

First class STEM degree (Russell Group/top 100 university)

Tools

Git

Job description

London, Greater London | £130k - £160k per year

Data Engineer (Python SQL Spark Azure Databricks) London to £160k

Are you a tech savvy Data Engineer with a first class education? You could be progressing your career working on complex and challenging systems at a Hedge Fund with over $17 billion under management.

What's in it for you:

• Salary to £160k
• Significant bonus earning potential
• Fund performance share
• Personal training budget and mentoring
• Family friendly benefits that include unlimited emergency backup childcare as well as care for elderly relatives
• Various social groups including sports teams
• Private healthcare and wellness activities

Your role:

As a Data Engineer you will join a small team responsible for understanding, managing and transforming raw data content from various 3rd parties for the trading team, investment quants and investment desk. Typical responsibilities will include combining and transforming raw data into useful insights, analysis and visualisations, interrogating various vendor data endpoints to source and analyse data, ensuring data consistency, completeness and accuracy across all platforms.

You’ll develop data dictionaries and other documentation and collaborate with technology teams to implement and enhance data systems and processes, keeping up to date with industry trends and emerging technology in data content and tooling.

Location / WFH:

You'll join the team in fantastic London (Soho) based offices that offer a wide range of facilities including nutritionally balance breakfast, lunch and all day snacks.

Please note this role is full-time office based (Monday to Friday), with some flexibility if needed on ad hoc basis.

About you:

• You have an outstanding record of academic achievement - first class degree in a STEM discipline from a top tier university (i.e. Russel Group or top 100 global university), backed by A grades at A-level
• You have experience in a similar Data Engineer role at a Hedge Fund or Investment Bank and have a good understanding of financial markets and investment management
• You have strong technical skills with Python or C# and SQL, experience with version control and contributing to a shared codebases
• You have experience with modern data tools and technologies including Apache Spark and Azure Databricks preferred
• You have a strong knowledge of data management principles and best practices
• You have experience with data analysis, visualisation tools and techniques
• You're able to convey complex data and technical information to front office traders
• Ideally you will have had exposure to BBG, Markit, Refinitiv, macro research