Market Data Software Engineer in London

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers who thrive in a collaborative culture where we solve real problems while building the future of finance.

You:

• Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.
• Love solving complex real-world business problems.
• Recognise that cross-functional collaboration is a core component of success for the team.
• Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.
• Have become a stronger engineer by making mistakes and learning from them.
• Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

We:

• Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.
• Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.
• Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.
• Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.
• Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.
• Consider our people to be our greatest asset—we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

Position Description:

We are looking for a senior, strategic leader responsible for the end-to-end market data ingestion, normalization, and distribution platform. Own architecture, roadmap, and multi-location engineering teams to deliver ultra-low-latency, reliable data services across asset classes.

Key Responsibilities:

• Define the market data architecture and roadmap, including data quality, lineage, and governance.
• Architect and operate low-latency pipelines from exchanges/vendors (FIX, ITCH/OUCH, FAST/SBE, multicast); ensure HA and rapid failover.
• Lead scalable feed-in/feed-out components (Java core, Python low-latency networking, kernel-bypass, zero-copy).
• Align with trading desks, quants, risk, and operations to meet data requirements and SLAs.
• Manage vendor connectivity projects; negotiate SLAs and optimise costs.
• Implement end-to-end monitoring, alerting, and data governance practices.
• Drive reliability engineering, incident response, and permanent corrective actions.
• Lead budgeting, headcount planning, and career development for multi-location teams; mentor engineers.
• Modernise toward cloud-native, streaming-first architectures while preserving latency goals.
• Ensure security, compliance, and risk controls (data privacy, access management).

Required Experience:

• 7+ years of professional experience working in the investment management domain in market data or real-time financial infrastructure.
• Bachelor’s degree in computer science or equivalent. A higher degree in Computer Science or engineering is desirable.
• Track record delivering high-performance, low-latency systems in financial services.
• Strong OOP skills with hands-on experience.
• Proficiency in Java and Python scripting; strong software engineering fundamentals.
• Intermediate SQL/Database Query experience required.
• Strong analytical ability to learn independently from the code / reverse engineer.
• Ability to work well independently and in cross-functional teams.
• Good written and oral communication skills; strong collaboration, vendor management, and negotiation skills.
• Experience of working with market data feeds (Reuters, Bloomberg SAPI/BPIPE, TradeWeb, MarketAxess, etc.) is a plus.
• Familiarity with cloud platforms (AWS/GCP/Azure), containers (Docker/Kubernetes), CI/CD, and IaC.
• Excellent communication; ability to present to executives and non-technical partners.
• Data governance, lineage, cataloging, and metadata management expertise.
• Exposure to finance (degree/CFA/work experience).