Job Opportunities API

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 a Keyrus 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 combining technology, data, intelligence, and human decision-making. This role is both technical and consultative — ideal for someone who combines hands-on engineering, data architecture, and business collaboration Build and maintain robust ingestion pipelines for real-time and historical market data , including exchange feeds , vendor sources ( Bloomberg, LSEG/Refinitiv, ICE ) and internal sources Normalise and standardise heterogeneous feeds into consistent internal schemas, so downstream consumers never have to care where the data came from. Integrate market and reference data with the client's internal systems, such as research libraries, backtesting infrastructure, risk, PnL, and security master Own the data plumbing that decisions rely on: Corporate actions Symbology mapping Point-in-time accuracy Gap detection & reconciliation Model and store time-series and tick data efficiently in ClickHouse and/or kdb+/q , balancing query performance, storage cost, and ingestion throughput Build monitoring, alerting, and data quality frameworks to proactively detect issues 👤 Who You Are You are highly detail-oriented and reliability-driven , understanding that data accuracy is critical to business and trading decisions. You enjoy working with complex, real-time data systems and take pride in making them robust, scalable, and trustworthy. You think in terms of systems and dependencies , not just individual components. You are comfortable operating in high-stakes environments where latency, completeness, and correctness matter. You take strong ownership of the pipelines and systems you build — you don’t just deliver them, you maintain and improve them over time . You can translate technical challenges into clear communication for non-engineering stakeholders , especially in business or trading contexts. You are pragmatic and focused on delivering what the business actually needs , not just theoretical perfection. You are comfortable working with large datasets and Linux-based environments 🛠️ What You Bring Qualifications & Experience +5 years working as a Data Engineer Strong experience building pro