Help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.
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.

+5 years working as a Data Engineer
Strong experience building production-grade data pipelines where reliability is critical
Proven exposure to financial market data environments (real-time feeds, formats, vendor data)
Experience working with large-scale datasets
Professional proficiency in English
Strong Python skills for data engineering, orchestration, and tooling (pandas, polars)
Hands-on experience with time-series / columnar analytics databases (ClickHouse, kdb+/q preferred)
Strong SQL and a solid understanding of time-series data modelling
Comfortable working in Linux environments
Understanding of market data feeds, formats, and vendor ecosystems
Strong ownership mindset with focus on reliability and maintainability
Ability to communicate effectively with business stakeholders.
Nice to Have: C/C++ for performance-critical components such as feed handlers or low-latency paths.
Experience with streaming & messaging systems (Kafka, Solace, Aeron, ZeroMQ)
Knowledge of market data protocols (FIX, FAST) and formats (Parquet, Arrow)
Experience working with vendor APIs
Background in financial services/trading environments.

Competitive holiday allowance
Private Medical & Dental Insurance (Bupa)
Group Life Insurance
Gym & fitness discounts via Pluxee (Sodexo)
On-site gym access at our London office
Access to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)
Auto-enrolment pension scheme with Aegon
Training & Development via KLX (Keyrus Learning Experience)
Strong focus on career development and internal mobility
Electric & hybrid car scheme via Tusker
Annual discretionary bonus , based on individual and company performance
Referral bonus for introducing new colleagues.

Market Data Engineer

Key skills