At a Glance
- Tasks: Develop and optimise data pipelines using Python, SQL, and modern tech.
- Company: Award-winning systematic hedge fund known for its friendly culture.
- Benefits: Flexible work schedule with only 3 days onsite and great work/life balance.
- Other info: Opportunity to mentor juniors and work with cutting-edge technologies.
- Why this job: Join a dynamic team and lead exciting greenfield projects in data engineering.
- Qualifications: 5+ years in software/data engineering with strong Python and SQL skills.
The predicted salary is between 70000 - 90000 £ per year.
Senior Data Software Engineer with expertise in Python, SQL, databases, Linux, and Docker sought by one of the early Systematic Hedge Funds – an award-winning firm renowned for their collaborative and friendly culture. You will join a six-person Data Engineering team as one of the more senior engineers so owning projects and helping lead and mentor junior team members. The team have a broad remit across ingestion, storage, transformation, and distribution of tick, timeseries, reference and alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure. The business is currently midway through massive technology modernisation therefore there is ample opportunity to work on greenfield projects and with new technologies. We are looking for someone passionate about technology who stays current with industry trends, follows engineering best practices, and is always looking for opportunities to improve systems, processes, and performance.
Responsibilities
- Developing ELT / ETL pipelines to ingest and transform datasets with Python, Snowflake and dbt.
- Building a streaming platform (Kafka, Flink, Iceberg) to capture and aggregate large volumes of tick data.
- Consolidating legacy systems onto a next-generation cloud-native technology stack.
- Working closely with quantitative developers, researchers and portfolio managers.
- Supporting Java-based live data feed handlers.
Requirements
- 5+ years working as a Software Engineer and/or Data Engineer.
- Strong expertise in Python, SQL and a good understanding of relational databases.
- Confident working with Linux and Docker.
- AWS experience preferred.
- An excellent communicator, ability to communicate clearly with technical and non-technical colleagues.
- Skills in Java and/or Kafka, Flink and Iceberg preferred.
- Cloud Data Warehousing experience preferred, especially using Snowflake.
- Financial experience – especially in relation to Buy Side, Electronic Trading and Market Data Vendors and APIs.
This is an excellent long-term opportunity for a talented Data Software Engineer to take on a more senior role in a specialist Systematic Hedge Fund renowned for their friendly working culture and work/life balance (i.e. only 3-days per week onsite).
Please apply below or contact adam@winston-fox.co.uk for more information.
Senior Data Software Engineer - Systematic Hedge Fund (London) employer: Winston Fox
Join an award-winning Systematic Hedge Fund in London, where a collaborative and friendly culture fosters innovation and growth. As a Senior Data Software Engineer, you'll have the opportunity to lead projects, mentor junior team members, and work on exciting greenfield initiatives within a modernising technology stack. With a strong emphasis on work/life balance and a flexible onsite policy, this role offers a meaningful career path in a supportive environment that values your expertise and passion for technology.
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We think you need these skills to ace Senior Data Software Engineer - Systematic Hedge Fund (London)
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