Data Engineer Python Sql Spark

Client Server Limited; City of Westminster; On-site; GBP 96,000 - 160,000; Full time

Benefits offered by this job

Significant bonus

Performance share

Training budget

Family benefits

Social groups

Private healthcare

Job summary

Client Server Limited seeks a Data Engineer for a London-based role working with Python, SQL, Spark and Azure Databricks on data used by trading teams. You will transform raw content from multiple vendors and build data dictionaries while collaborating with technology teams to enhance data processing and insights.

The ideal candidate has a first-class STEM degree and experience in hedge funds or investment banks, plus strong Python/SQL/C# skills and data visualization knowledge.

Qualifications

• First class STEM degree from a top-tier university with A-level top grades.
• Experience in a hedge fund or investment bank and knowledge of financial markets.
• Strong programming and data skills in Python/SQL/C#, and version control in shared codebases.
• Experience with modern data tools including Apache Spark and Azure Databricks preferred.
• Solid understanding of data management principles and best practices.
• Experience with data analysis and visualization techniques.
• Ability to communicate complex data insights to front-office traders.
• Exposure to market data vendors (BBG, Markit, Refinitiv) is a plus.

Responsibilities

• Transform raw data from various sources into useful insights for trading desks.
• Develop data dictionaries and documentation; collaborate with tech teams to enhance data systems.
• Maintain data quality, consistency, and timing across platforms; stay updated with industry trends.

Skills

Python

SQL

C#

Education

First class STEM degree

Tools

Apache Spark

Azure Databricks

Job description

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

Data Engineer Python SQL Spark London, England