Keyrus UK
Market Data Engineer
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Data Engineer – London (UK)
Why Keyrus, Why Now?
Keyrus is an international group of 2,800 consultants and experts across 28 countries, driven by a single belief: AI does not transform businesses—architected intelligence does.
For over 30 years, we have built the data foundations that enable intelligent systems—designing the operating system of the intelligent enterprise where intelligence is embedded into core business processes to create sustainable value. Our mission is to operationalise intelligence.
At Keyrus, AI repositions humans to roles no system can replicate—understanding, deciding, designing, and creating. You will not just develop skills—you’ll develop judgment, sharpening your expertise with every system you architect, every challenge you solve, and every deployment that refines the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale. This is not a role to fill—it’s a discipline to master, and a story to shape as a Keyrus Architect of Intelligence.
Keyrus Culture & Technological Amplification: "Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two."
Role Details
📍 Job Location: London, UK (On-site model) 🕒 Contract Type: Employee / Fixed-term / Contractor B2B 🗓 Target Start Date: ASAP ⏰ Working Hours: Full-time (40 hours/week)
💵 Compensation:
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Senior Level: £58,000 – £87,000 any
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Principal Level: £83,000 – £108,000 any
🎯 What You’ll Architect
As a Data Engineer, you will transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making. This role requires technical depth and consultative expertise.
Key Responsibilities:
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Build and maintain robust ingestion pipelines for:
- Real-time and historical market data
- Exchange feeds
- Vendor sources: Bloomberg, LSEG/Refinitiv, ICE
- Internal client data sources
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Normalise and standardise heterogeneous feeds into consistent internal schemas, ensuring downstream consumers remain agnostic to data origins.
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Integrate market and reference data with client systems such as:
- Research libraries
- Backtesting infrastructure
- Risk systems
- PnL platforms
- Security master
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Own data plumbing critical to decision-making, including:
- Corporate actions pipelines
- Symbology mapping
- Point-in-time accuracy
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Efficiently model and store time-series and tick data in ClickHouse and/or kdb+/q, balancing:
- Query performance
- Storage cost
- Ingestion throughput
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- Build monitoring, alerting, and data quality frameworks to proactively detect and resolve issues.
👥 Who You Are
You embody precision, pragmatism, and reliability. Your focus is on data accuracy—essential for business and trading decisions.
Core Traits:
✔ Highly detailed and reliability-driven: Ensuring data correctness impacts critical decisions.
✔ Comfort with complex, real-time systems: You take pride in making them scutable, scalable, and trustworthy.
✔ System-centric thinking: You approach solutions through dependencies, not isolated components.
✔ Caliber for high-stakes environments: Latency, completeness, and correctness are non-negotiable.
✔ Ownership-focused: You don’t just deliver pipelines—you maintain, enhance, and champion them over time.
✔ Technical communication: Ability to explain complex challenges clearly to non-engineers, especially in business/trading contexts.
✔ Practical pragmatism: Prioritise what the business needs over theoretical perfection.
✔ Linux and large datasets proficiency:Operational fluency in Linux environments and experience with large-scale datasets.
🛠️ What You Bring
🎓 Qualifications & Experience Required:
- +5 years of experience as a Data Engineer
- Production-grade data pipeline development experience
- Proven exposure to financial market data environments:
- Real-time feeds & formats
- Vendor-specific data (Bloomberg, Refinitiv, etc.)
- English proficiency at a professional level
🔧 Skills & Technical Proficiencies:
- Strong Python: For data engineering, orchestration, and tooling (pandas, polars)
- Time-series & columnar analytics databases:
- ClickHouse, kdb+/q (preferred)
- SQL mastery with solid time-series data modelling knowledge
- Linux fluency
- Market data protocol & vendor ecosystem knowledge
- Understanding of FIX, FAST, Parquet, Arrow formats
- API interaction with data vendors
📈 Nice to Have:
- C/C++ for performance-critical components (feed handlers, low-latency)
- Streaming & messaging systems: Kafka, Solace, Aeron, ZeroMQ
- Working experience within financial services or trading environments
⭐ What Makes You Successful
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Ensure data accuracy, completeness, and availability
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Proactively resolve issues via monitoring, alerts, and data checks before they escalate.
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Prioritise performance, scalability, and resilience in system design.
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Balance engineering rigor with pragmatic delivery (sacrifice operationalising theoretical goals).
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Leveraged knowledge of time-series correctness (PITA, reconciliation, symbology consistency).
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Build observable, maintainable solutions over merely functional ones.
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Collaborate effectively with data stakeholders, analysts, and business teams to align solutions with real-world needs.
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Continuously enhance systems, pipelines, and data quality to support better decision-making.
🎁 What We Offer
Benefits at Keyrus UK:
✅ Competitive holiday allowance ✅ Private Medical & Dental Insurance (Bupa) ✅ Group Life Insurance ✅ Gym & fitness perks: Discounts via Pluxee (Sodexo), including on-site gym access in London office ✅ Lifestyle perks: Travel, retail, and entertainment discounts via Pluxee ✅ Auto-enrolment pension (Aegon) ✅ Keyrus Learning Experience (KLX): Training & career development. ✅ Strong career growth and internal mobility opportunities ✅ Green vehicle scheme: Electric & hybrid car discounts via Tusker ✅ Performance bonus: Annual discretionary bonus ✅ Referral bonus: Bring in new colleagues
💰 How Our Salary Ranges Work
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Keyrus policies reflect mastery and impact—not job titles.
- Entry of range: You meet core requirements and need ramp-up time and support.
- Mid-range: You are autonomous from Day 1 and deliver consistently.
- Top of range: You are a reference, mentor, and excellence benchmark for the team.
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Final decisions are transparently discussed, based on experience, autonomy, scope, and market context.
🔒 Responsible AI & Recruitment Policy
At Keyrus:
- All recruitment decisions are made by human interviewers & assessors.
- AI is never used to determine hiring choices—only internally for interview note-taking.
- Prohibition during recruitment process: No AI generated CVs, portfolios, or responses permitted—consequences for violation: immediate disqualification.
Full list of responsible hiring commitments is available upon request.
🏳 Equal Opportunity Statement
We are committed to an inclusive workplace. Applications are welcomed from all backgrounds and identities across nationality, race, gender identity, sexual orientation, age, disability, religion or belief, and all other protected characteristics.
No one-defined background is prerecorded for competency here.
(Applications involving AI-generated submissions, underpinned by declarative practices, are are not accepted.)
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