Research Driven Recruitment

Discover the best vacancies in tech and finance, filter results or use our search tool to find your perfect match. If you would prefer to talk to us, please get in touch.

Latest Job Listings

Software Engineer – Data

Tech-Driven Global Hedge Fund


Posted 1 Mth Ago

The Role

Seeking a highly motivated and experienced engineer to join the Data Engineering team. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, sourcing, quality checking, and lifecycle management. They don’t just have a standard data warehouse – the data estate is varied and highly optimised to deliver the needs of the business. Your challenges will be varied, involving:

  • Developing and maintaining core tools for analysts, quants, and engineers to on-board and analyse datasets at multi-terabyte-scale.
  • Collaborating with the Data Science team to design and develop unique, bespoke solutions to solve their big data challenges.
  • Designing and implementing strategies and tools to monitor and validate the data quality for thousands of datasets in use.
  • Working with front office engineering teams as they leverage the data platform.
  • Discovering and leveraging best-in-market 3rd party tools and cloud technologies that can help to optimise the full data pipeline from scouting to trading.

The Technology

Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Systems that require the highest data throughput are implemented in Java. Within Data Engineering, Dataiku, Snowflake, Prometheus, and ArcticDB are used heavily.

Kafka is used for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for the private cloud, Ansible for architecture automation, and Slack for internal communication. Technology choices are never static and team members can explore new technologies freely.

Working Here

This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community.

  • They host and sponsor London’s PyData & Machine Learning Meetups and open-source some of their technology
  • They regularly talk at leading industry conferences, and tweet about relevant technology and how they’re using it.

They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work.

  • Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches
  • Annual away days and off-sites for the whole team
  • Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening
  • As well as PCs and Macs, you’ll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.

Technology and Business Skills


  • Extensive programming experience, ideally in Python
  • Knowledge of the challenges of dealing with large data sets, both structured and unstructured
  • Knowledge of modern practices for ETL, data engineering and stream processing
  • Proficient on Linux platforms with knowledge of various scripting languages
  • Working knowledge of one or more relevant database technologies e.g. MongoDB, PostgreSQL, Snowflake, Oracle
  • Proficient with a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Jupyter


  • Prior experience of working with financial market data, particularly tick data
  • Relevant mathematical knowledge, e.g. statistics, time-series analysis
  • Experience in data visualisation and building web apps in modern frameworks, e.g. React
  • Experience with git
  • Prior experience with AWS

Personal Attributes:

  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
  • Demonstrable passion for technology e.g. personal projects, open-source involvement
  • Intellectually robust with a keenly analytic approach to problem solving
  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities
  • Focused on delivering value to the business with relentless efforts to improve process
  • Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Work-Life Balance and Benefits

Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they’re also a Signatory of the Women in Finance Charter.

They offer competitive compensation and comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. They are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.