3 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, and maintain trusted, governed enterprise data products.
- Develop resilient ingestion, orchestration, provisioning, and integration solutions for enterprise-scale workloads.
- Deliver API-led, service-based, and event-driven integrations using APIs, API gateways, event streaming, and webhooks.
- Build source-provider onboarding capabilities with validation, traceability, publication contracts, and data standards.
- Develop high-performance data pipelines for large-scale distributed workloads.
- Implement data quality controls, monitoring, observability, operational metrics, and reliability practices.
- Establish automated unit, integration, and end-to-end testing for data and integration solutions.
- Apply software engineering, source control, code review, CI/CD, release management, and infrastructure-as-code practices.
- Define reusable engineering standards, integration patterns, and reference implementations.
- Partner with data, architecture, governance, platform, operations, application, and business teams while providing technical leadership.
- Comply with FCA requirements, the operational risk framework, internal policies, conduct rules, and company values.
Requirements
- Extensive experience designing and implementing enterprise-scale data ingestion, orchestration, and provisioning capabilities.
- Strong hands-on Databricks experience across AWS and/or Azure, including Lakehouse architecture, distributed processing, and production operations.
- Strong hands-on Apache Kafka experience and knowledge of event-driven integration architectures.
- Proven experience designing enterprise-scale API-led, event-driven, and service-based integration solutions.
- Experience with CI/CD pipelines, automated testing, and modern software engineering practices.
- Strong proficiency in Python and SQL for enterprise data engineering and integration workloads.
- Deep understanding of data quality, observability, lineage, traceability, and auditability in integration architectures.
- Experience delivering production-grade data solutions balancing scalability, reliability, security, and operational supportability.
- Experience working in regulated environments with governance, risk, compliance, and audit requirements.
- Ability to work as a hands-on engineer and strategic technical leader, translating business requirements into scalable solutions.
- Desirable experience in financial services, particularly ETD and OTC derivative markets.
- Desirable hands-on experience with Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, and Amazon API Gateway.
- Experience with Kafka or similar technologies and with Azure DevOps, Bitbucket, and Git-based workflows.
- Advanced use of VS Code and developer productivity tools such as Claude Code and Codex.
- Databricks Certified Data Engineer Professional or DAMA Certified Data Management Professional certification is desirable.
- Strong communication, collaboration, relationship-building, influencing, curiosity, resilience, and ability to operate in a fast-paced environment.
Benefits
- Marex is committed to inclusive hiring and provides reasonable adjustments throughout the recruitment process.
- The company welcomes applications from candidates returning to the workforce and supports career development and stretch opportunities.