At a Glance
- Tasks: Join us as a Market Data Engineer to build and support cutting-edge financial data systems.
- Company: Dynamic financial tech firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, comprehensive health benefits, flexible work options, and generous PTO.
- Other info: Hybrid role with opportunities for professional development and a supportive work culture.
- Why this job: Make an impact in the financial sector while working with top-tier market data providers.
- Qualifications: 8-10 years of experience in software engineering and strong knowledge of financial market data.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for an experienced Market Data Engineer with at least 8 to 10+ years of relevant professional experience in software engineering and financial market data systems.
Must have strong financial market data knowledge and C# development experience to build, maintain, and support market data feed handlers and downstream data processing systems.
The role spans Equities, Futures, Options, Foreign Exchange (FX), and Fixed Income, working with vendors such as ICE, Refinitiv, S&P and other market data providers.
- Integrate and support market data feeds from ICE, Refinitiv, and other providers, including vendor-specific message formats, instrument identifiers, entitlements, and feed configuration.
- Support Equities, Futures, Options, FX, and Fixed Income market data, understanding asset-specific pricing, trading conventions, identifiers, and data requirements.
- Develop and maintain instrument mappings, security and contract identifiers, exchange and venue mappings, currency attributes, and other reference data.
- Support end-of-day pricing, intraday pricing, historical data, and related data quality controls.
- Develop, enhance, and maintain C# applications that connect to market data vendors, receive and process market data, and deliver data reliably to downstream systems.
- Process intraday trades and quotes, including Level 1 top-of-book data and Level 2 market depth data, where supported by the feed.
- Troubleshoot feed interruptions, missing or delayed messages, data gaps, processing bottlenecks, and recovery scenarios.
Improve application stability, throughput, and resilience.
- Write and optimize SQL queries, stored procedures, and data processing workflows that support market data storage and downstream applications.
- Develop and support Snowflake ingestion, transformations, validation, reconciliation, and analytical data workflows.
- Use Python and scripting tools to automate validation, monitoring, reconciliation, and operational tasks.
- Investigate market data discrepancies, perform root-cause analysis, implement corrective actions, and support critical production processing and SLAs.
- Help modernize market data processing and migrate appropriate data workflows from SQL Server to Snowflake and AWS-based infrastructure.
- Work with TCA engineers, product teams, and other stakeholders to deliver new market data capabilities and maintain existing services.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- Strong working knowledge of Equities, Futures, Options, FX, and Fixed Income market data.
- Hands-on experience with Snowflake and AWS Cloud services.
- Strong experience with Microsoft SQL Server, including complex queries, stored procedures, performance tuning, and troubleshooting.
- Strong debugging, analytical, and problem-solving skills.
- Understanding reference data, instrument identifiers, symbology, exchange and venue mappings, end-of-day pricing, and intraday pricing.
- Practical experience integrating external market data feeds, preferably ICE, Refinitiv/LSEG, or comparable vendors.
- Hands-on C# development experience building or maintaining feed handlers, market data applications, or other real-time data processing systems.
- Ability to independently troubleshoot production issues, own technical deliverables, and work with minimal supervision.
- Candidates should understand how to use AI effectively while independently validating generated code for correctness, security, performance, and maintainability.
- Будет плюсом: Familiarity with vendor APIs, feed protocols, entitlement management, and vendor-specific message formats; Experience with high-volume market data, tick data, trade and quote normalization, and market data quality controls; Experience with Snowflake, AWS/S3, and Apache Airflow or similar orchestration tools; Experience with SQL Server performance tuning and large-scale data processing; Experience supporting Trade Cost Analysis (TCA), trading analytics, or financial market data platforms; Experience with Apache Airflow or similar orchestration technologies; Experience with AWS, particularly S3 and data services; Experience with Git, CI/CD, Liquibase and automated deployment processes; Experience with data quality, reconciliation, and data governance; Experience with Transaction Cost Analysis (TCA) or other financial analytics; Snowflake or AWS certification
- We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance.
- Medical, Dental, and Vision insurance
- Flexible Spending Accounts (FSA) & Health Savings Accounts (HSA)
- Pre-tax transit and parking benefits
- This is a hybrid position requiring three days of in-office collaboration per week, with the flexibility to work remotely for the remaining two days.
- 22 days of Paid Time Off (PTO) per year, with the option to roll over unused days.
- One dedicated day per year for volunteering.
- Two professional development days per year to allow uninterrupted professional development.
- An additional PTO day added during milestone anniversary years.
- Robust paid holiday schedule with early dismissal.
- Generous parental leave for all parents (including adoptive parents).
- Budget for tech accessories, including monitors, headphones, keyboards, and other office equipment.
- Backup child and pet care, as well as tutoring services.
- Milestone anniversary bonuses.
- Stipend and subsidy contributions toward personally-owned cell phones
- Contributions for gym memberships and health/wellness initiatives.
- Discounted healthcare premiums.
- #J-18808-Ljbffr
Market data engineer employer: RCM-X
At Trading Technologies, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive training programs and opportunities for advancement within our global operations, making it an ideal environment for professionals seeking meaningful and rewarding careers in the fast-paced world of capital markets.
StudySmarter Expert Advice🤫
We think this is how you could land Market data engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at RCM-X or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to RCM-X.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like RCM-X.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like RCM-X that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Market data engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at RCM-X.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at RCM-X and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at RCM-X
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If RCM-X uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
