Data Engineer

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.

• 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