Senior Data Engineer / Data Architect
- Design and evolve core data models and services that standardise trade, market, pricing, risk and finance data across streaming, lake/lakehouse and warehouse layers.
- Build and operate streaming and batch pipelines to capture orders, quotes, trades and market data; reconcile sources; and deliver trusted, versioned datasets for analytics, risk and finance.
- Implement robust data quality, lineage, governance and access controls; define SLAs/SLOs and data contracts to ensure reliability and auditability.
- Manage cloud-based storage and processing (AWS preferred), optimizing for cost, performance and scalability; support time-series and dimensional analytics.
- Develop monitoring, alerting, anomaly detection and playbooks for incident response, backfills and reprocess/replay.
- Partner with stakeholders across Front Office, Risk, Finance, Business Development, Operations and Compliance to translate requirements into pragmatic data products; document, review and continuously improve tooling and processes.
- 8+ years in data engineering within financial markets. Experience in at least one of Front Office (Sales & Trading), Risk Management, Finance, Business Development, Operations, or Compliance is required.
- Strong programming in Python, Java and SQL; experience with Rust is a plus.
- Proven track record architecting streaming and batch ETL/ELT at scale using modern data pipeline and messaging technologies.
- Solid understanding of market/trade data lifecycles and time-series concepts, or equivalent experience working with financial datasets.
- Hands-on with a major cloud platform (AWS preferred) and cloud-native data services; experience operating lake/lakehouse and warehouse architectures.
- Strong grasp of data governance, security and data quality practices, including lineage, cataloging and role-based access.
- Demonstrated ability to deliver high-reliability systems with clear SLAs, efficient backfill/replay strategies and cost/performance optimization.
- Excellent communication skills with the ability to align technical and non-technical stakeholders.
- Exposure to digital asset/crypto datasets or infrastructure, or to traditional asset classes and vendor market data.
- Familiarity with regulatory reporting and audit requirements in financial markets.
- Experience with analytics/semantic layers and BI tools.
- Operational experience with observability and on-call for data platforms.
- Relevant cloud or data engineering certifications.
- A collaborative and transparent company culture founded on Integrity, Innovation and Performance.
- Competitive salary with two discretionary bonus payments a year.
- Benefits such as Healthcare, Dental, Vision, Retirement Planning, 30 days holiday and free lunches when in the office.
- Regular Town Halls, team lunches and drinks.
- A Corporate and Social Responsibility program as well as charity fundraising matching and volunteer days.
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