Data Engineer Python SQL Spark

Client Server; Greater London; On-site; GBP 80,000 - 130,000; Full time

Job summary

A financial services firm in London seeks a Data Engineer with strong Python and SQL skills. The role involves transforming raw data for investment analysis, developing documentation, and collaborating with tech teams. Candidates should have a minimum of 2.1 in a STEM discipline from a top university and experience in a similar role at a Hedge Fund. This is a full-time office-based position with competitive salary and bonus potential, plus family-friendly benefits.

Benefits

Salary up to £130k

Significant bonus earning potential

Personal training budget

Family friendly benefits

Private healthcare

Wellness activities

Qualifications

• Outstanding academic achievement with A grades at A-level.
• Experience in a similar Data Engineer role at a Hedge Fund.
• Strong technical skills with Python and SQL.

Responsibilities

• Transform raw data content for the trading team.
• Develop data dictionaries and documentation.
• Collaborate with technology teams to enhance data systems.

Skills

Python

SQL

Data analysis

Data visualisation

Data management principles

Apache Spark

Azure Databricks

Version control

Education

Minimum 2.1 in a STEM discipline from a top tier university

Job description

Data Engineer (Python SQL Spark Azure Databricks) London to £130k

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 £130k
• Significant bonus earning potential
• Fund performance share
• Personal training budget and mentoring
• Family friendly benefits that include unlimited emergency backup 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).

About you:

• You have an outstanding record of academic achievement - minimum 2.1 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 and have a good understanding of financial markets and investment management
• You have strong technical skills with Python and SQL, experience with version control and contributing to a shared codebase
• You have experience with modern data tools and technologies including Apache Spark, Azure Databricks experience would also be great
• 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