Lead Full Stack Engineer (Data Visualisation)

London, England, United Kingdom

BMLL

BMLL Technologies is the leading, independent provider of harmonised Level 3, 2 & 1 historical market data and analytics, covering global equities, ETFs…

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About BMLL

We are the leading independent provider of harmonised Level 3 historical data and analytics to the world’s most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them to accelerate research, optimise trading strategies and generate alpha at unparalleled speed and scale.

Our culture is inclusive and highly collaborative, with a flat management structure that empowers our employees to get involved in decision making as we continue to grow and scale.  We give all our employees share options so they participate in the growth and development of the business.

We offer a combination of remote and office (London based) working, weekly team lunches and plenty of office snacks!

For more information, please visit our website, www.bmlltech.com or visit our Twitter, @bmlltech or LinkedIn, @BMLL.

About the Role

BMLL Vantage is the market leading product for visualisation of financial time-series data. Every day we consume 250GB of new data across 750,000 securities to deliver into our platform, our data services and our visual products. In Vantage users can perform in-browser visualisations of more than 1TB of trading analytics.

We are seeking a skilled Software Engineer to enhance and expand the product. This role involves building pixel-perfect, interactive, rich-feature, high-performance data visualization dashboards using React, TypeScript, and cutting-edge visualization libraries such as D3.js and Highcharts. You'll collaborate closely with the backend team, data engineers, data analysts, and product team to turn complex datasets into intuitive and insightful user experiences.

Key Responsibilities

  • Design and develop robust, scalable web applications with a strong focus on large scale datasets & data  visualization.
  • Collaborate with product team and data science team to translate user needs into technical requirements.
  • Integrate and optimize REST APIs for data retrieval and manipulation.
  • Develop reusable components and ensure consistency across applications.
  • Write and maintain high-quality, testable code with tools like Jest and Playwright.
  • Perform data wrangling tasks and contribute to data analysis processes where necessary.
  • Troubleshoot, debug, and enhance existing applications to improve performance and reliability.

Why Join Us?

This role offers the right candidate the opportunity to build industry-leading technology, drive innovation, and influence the direction of our company. You will have the opportunity to work on cutting-edge data visualization projects, leveraging modern technologies and large-scale datasets. You'll be part of a dynamic team that values innovation, learning, and collaboration.

Requirements

Required Skills & Experience

  • Web Development: Proficient in React and TypeScript.
  • Data Visualization: Experience with libraries such as Highcharts and D3.js.
  • Testing: Familiarity with Jest and Playwright or similar testing frameworks.
  • REST APIs: Strong understanding of integrating and working with RESTful services.
  • Data Skills: Experience in data wrangling/analysis (e.g., using SQL or Python, Jupyter Notebook).
  • Collaboration: Experience working in an Agile environment (Scrum/Kanban).
  • Problem-Solving: Strong analytical and troubleshooting skills.

Desirable Skills

  • Familiarity with state management libraries (MobX, Redux).
  • Exposure to financial data or market analytics projects.
  • Experience with data engineering tools (DuckDB, PySpark, etc.).
  • Knowledge of automated testing frameworks (Playwright, Cypress).
  • Experience of WebAssembly.
  • Python programming experience for data manipulation or API development.
  • Use of AI for creating visualisations.

Soft Skills:

  • Exceptional leadership skills with the ability to lead a team of software developers effectively.
  • Excellent problem-solving skills and ability to think critically.
  • Strong interpersonal and communication skills, with the ability to clearly articulate complex technical issues to all levels of the organization, both business and technical.
  • Ability to work in a fast-paced, deadline-driven work environment.
  • Agile development and continuous delivery methodologies knowledge is a plus.

Benefits

  • Competitive salary
  • 25 days holiday plus bank holidays
  • Share Options after completion of probationary period
  • Discretionary Bonus 
  • Pension Scheme
  • Private Medical Insurance
  • Work remotely abroad for up to 40 business days each year
  • Life Insurance
  • Combination of remote and London-based office working (2-3 days in office per week)
  • A yearly Well being Physical Activity budget
  • Continuous learning through funded training and challenging projects
  • Collaborative culture
  • Weekly team lunches
  • Free Fruit, snacks, and drinks provided throughout the day (When office based)
  • Regular Team Socials
  • Cycle to Work Scheme

We are an inclusive employer and welcome applicants from all backgrounds. We pride ourselves on our commitment to Equality and Diversity. We are committed to removing barriers throughout our hiring process. If you have any special requirements or require reasonable adjustments to help you access career opportunities at BMLL, please do let us know careers@bmlltech.com.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile API Development APIs D3 Data analysis Data visualization Engineering Jupyter Kanban Playwright PySpark Python React Research Scrum SQL Testing Trading Strategies TypeScript

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care Lunch / meals Salary bonus Startup environment

Region: Europe
Country: United Kingdom

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