Market Data Engineer

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction:AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value:we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow:understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on 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, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become aKeyrus Architect of Intelligence.

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 (40h/ week)
💵Compensation:£58k – £87k (Senior Level) or £83k – £108k (Principal Level)

📋 What You'll Architect

As a Market Data Engineer, you will help organisations transform complexity into measurable outcomes by combiningtechnology, data, intelligence, and human decision-making.

This role is bothtechnical and consultative — ideal for someone who combineshands-on engineering, data architecture, and business collaboration

• Build and maintainrobust ingestion pipelines forreal-time and historical market data, includingexchange feeds, vendor sources (Bloomberg, LSEG/Refinitiv, ICE) and internal sources

• Normalise and standardise heterogeneous feeds intoconsistent internal schemas,so downstream consumers never have to care where the data came from.

• Integrate market and reference datawith the client's internal systems, such asresearch libraries, backtesting infrastructure, risk, PnL, and security master

• Ownthe data plumbing that decisions rely on:

  • Corporate actions

  • Symbology mapping

  • Point-in-time accuracy

  • Gap detection & reconciliation

• Model and storetime-series and tick dataefficiently inClickHouse and/or kdb+/q, balancing queryperformance, storage cost, and ingestion throughput

• Buildmonitoring, alerting, and data quality frameworks to proactively detect issues

👤 Who You Are

• You arehighly detail-oriented and reliability-driven, understanding that data accuracy is critical to business and trading decisions.

• You enjoy working withcomplex, real-time data systems and take pride in making them robust, scalable, and trustworthy.

• You think in terms ofsystems and dependencies, not just individual components.

• You are comfortable operating inhigh-stakes environments wherelatency, completeness, and correctness matter.

• You takestrong ownership of the pipelines and systems you build — you don’t just deliver them, youmaintain and improve them over time.

• You can translate technical challenges intoclear communication for non-engineering stakeholders, especially in business or trading contexts.

• You are pragmatic and focused ondelivering what the business actually needs, not just theoretical perfection.

• You are comfortable working withlarge datasets and Linux-based environments

🛠️ What You Bring

Qualifications & Experience

• +5 years working as a Data Engineer

• Strong experience buildingproduction-grade data pipelines wherereliability is critical

• Proven exposure tofinancial market data environments (real-time feeds, formats, vendor data)

• Experience working withlarge-scale datasets

• Professional proficiency in English

Technical & Professional Skills

• StrongPython skills fordata engineering, orchestration, and tooling (pandas, polars)

• Hands-on experience withtime-series / columnar analytics databases (ClickHouse, kdb+/q preferred)

• StrongSQL and a solid understanding oftime-series data modelling

• Comfortable working inLinux environments

• Understanding ofmarket data feeds, formats, and vendor ecosystems

• Strongownership mindset with focus onreliability and maintainability

• Ability to communicate effectively withbusiness stakeholders

Nice to Have

• C/C++forperformance-critical componentssuch as feed handlersorlow-latency paths.

• Experience withstreaming & messaging systems (Kafka, Solace, Aeron, ZeroMQ)

• Knowledge ofmarket data protocols (FIX, FAST) and formats (Parquet, Arrow)

• Experience working withvendor APIs

• Background infinancial services/trading environments

⭐ What Makes You Successful

• You ensuredata is accurate, complete, and available when it matters — especially in real-time contexts.

• You proactively identify and fix issues throughmonitoring, alerting, and data quality checks before they impact users.

• You design systems with a strong focus onperformance, scalability, and resilience.

• You balanceengineering excellence with practical delivery, making smart trade-offs when needed.

• You understand theimportance of time-series data correctness (e.g. point-in-time accuracy, reconciliation, symbology consistency).

• You build solutions that aremaintainable and observable, not just functional.

• You collaborate effectively withdata consumers, analysts, and business stakeholders to ensure systems meet real-world needs.

• You continuously improve pipelines, processes, and data quality to supportbetter decision-making.

🎁 What We Offer at Keyrus UK

• Competitive holiday allowance

• Private Medical & Dental Insurance (Bupa)

• Group Life Insurance

• Gym & fitness discounts viaPluxee (Sodexo)

• On-site gym access at our London office

• Access tolifestyle discounts (travel, retail, entertainment & more) viaPluxee (Sodexo)

• Auto-enrolment pension scheme with Aegon.

• Training & Development via KLX (Keyrus Learning Experience)

• Strong focus oncareer development and internal mobility.

• Electric & hybrid car scheme viaTusker

• Annual discretionary bonus, based on individual and company performance

• Referral bonus for introducing new colleagues.

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflectdifferent levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based onexperience, autonomy, scope, and market context, and are discussed transparently during the process.

🔒 Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively fornote-taking purposes during interviews. AI isnever used to make decisions.

To ensurefairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process isstrictly prohibited.

Our commitment toresponsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.