Lead Enterprise Data Engineer – API‑Driven Data Integration

Marex Group; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Marex is seeking a Senior Enterprise Data Engineer to lead enterprise-scale data integration and data product capabilities. You will develop trusted data assets and modern integration services that enable agile decision-making and regulatory compliance.

In this hands-on role, you will design resilient ingestion and provisioning solutions, work across data, platform, and business teams, and champion automation and sustainable engineering practices in a fast-growing global financial services firm.

Qualifications

• Experience in regulated environments with governance, risk, compliance, and audit awareness.
• Extensive experience designing resilient data ingestion, orchestration, and provisioning for enterprise workloads.
• Hands-on Databricks experience including Lakehouse architecture and production operations.
• Hands-on Apache Kafka and event-driven integration experience.
• Proven expertise building enterprise-scale API-led, event-driven, service-based integration across data platforms and apps.
• Experience implementing CI/CD, automated testing, and modern software engineering practices.
• Strong Python and SQL skills for data engineering and integration workloads.
• Understanding of data quality, observability, lineage, and auditability in data platforms.
• Able to act as hands-on engineer and strategic technical leader to translate requirements into scalable solutions.

Responsibilities

• Design, build, and maintain strategic enterprise data products with governed access across the organization.
• Implement resilient data ingestion, orchestration, and provisioning for diverse use cases.
• Deliver API-led and event-driven integration capabilities using APIs, gateways, and event streaming.
• Develop scalable onboarding solutions with traceability and data standards.
• Build high-performance data pipelines for large-scale workloads while meeting regulatory requirements.
• Implement data quality controls, monitoring, and observability to improve reliability.
• Define automated testing for data and integration, including unit and end-to-end tests.
• Apply SDLC best practices: source control, CI/CD, release management, IaC.
• Establish reusable integration patterns and reference implementations for consistency.

Skills

Databricks

Kafka

Python

SQL

API-led integration

CI/CD

Data governance

Data quality

Observability

Architectural patterns

Tools

Azure Data Factory

Power BI

Dbt

NodeJS

API Gateway

Job description

Marex is seeking a Senior Enterprise Data Engineer to lead enterprise-scale data integration and data product capabilities. You will develop trusted data assets and modern integration services that enable agile decision-making and regulatory compliance.

In this hands-on role, you will design resilient ingestion and provisioning solutions, work across data, platform, and business teams, and champion automation and sustainable engineering practices in a fast-growing global financial services firm.