Enterprise Data Integration Engineer | Enterprise Technology

We are seeking a Senior Enterprise Data Engineer to lead the development of enterprise-scale data integration and data product capabilities across the organisation. This role will help advance the firm's data strategy by delivering trusted, reusable data assets and modern integration services that enable business agility, operational efficiency, and data-driven decision making.

The role is responsible for designing and implementing resilient ingestion, orchestration, and provisioning solutions using service-based and event-driven architectures. Working closely with data, platform, application, operations, and business teams, the successful candidate will establish engineering patterns and integration capabilities that support critical business systems, regulatory reporting, analytics, machine learning, and AI-driven solutions.

This is a hands-on engineering role requiring strong technical leadership, a passion for automation and operational excellence, and the ability to deliver scalable solutions that meet the needs of a fast-growing global financial services organisation.

Design, build, and maintain strategic enterprise data products that provide trusted, governed, and low-friction access to data across the organisation.

Design and implement resilient data ingestion, orchestration, and provisioning solutions to support operational, regulatory, analytical, machine learning, and AI-driven use cases.

Deliver service-based and event-driven integration capabilities using APIs, API Gateways, event streaming, webhooks, and other enterprise integration patterns.

Develop scalable source-provider onboarding solutions, ensuring data is traceable, validated, and aligned with agreed publication contracts and data standards.

Build and maintain high-performance data pipelines capable of processing large-scale, distributed workloads while meeting operational and regulatory requirements.

Implement data quality controls, monitoring, observability, and operational metrics to improve the reliability and resilience of enterprise data products.

Define and implement automated testing practices for data and integration solutions, including unit, integration, and end-to-end testing.

Apply software engineering and SDLC best practices, including source control, code review, CI/CD, release management, and infrastructure-as-code principles.

Establish and promote engineering standards, reusable integration patterns, and reference implementations to improve consistency, scalability, and delivery velocity.

Partner with data, architecture, governance, platform, operations, application, and business teams to deliver strategic data capabilities, provide technical leadership, and ensure alignment with enterprise standards and objectives.

Ensure compliance with the company’s regulatory requirements under the FCA.

Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with.

Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values.

At all times comply with the FCA’s Code of Conduct.

Ensure that you are fully aware of and adhere to internal policies that relate to you, your role or any other activities for which you have any level of responsibility.

Report any breaches of policy to Compliance and/ or your supervisor as required.

Escalate risk events immediately.

Provide input to risk management processes, as required.

Competencies, Skills and Experience Skills and Experience: Essential:

Experience working within regulated environments and a strong understanding of associated governance, risk, compliance, and audit requirements.

Extensive experience designing and implementing resilient data ingestion, orchestration, and provisioning capabilities for enterprise-scale workloads.

Strong hands-on experience with Databricks (AWS and/or Azure), including Lakehouse architecture, distributed processing, and production operations.

Strong hands-on experience with Apache Kafka and event-driven integration architectures.

Proven expertise designing and implementing enterprise-scale API-led, event-driven, and service-based integration solutions across data platforms, applications, and operational systems.

Experience implementing 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 how integration architectures and engineering practices influence data quality, observability, lineage, traceability, and auditability.

Experience delivering production-grade data solutions that balance scalability, reliability, security, and operational supportability.

Ability to operate effectively as both a hands-on engineer and a strategic technical leader, translating business requirements into scalable engineering solutions.

Experience in financial services, with exposure to ETD and OTC derivative markets highly desirable.

Hands‑on experience with: Azure Data Factory, Databricks Asset Bundles, Power BI, Dbt, NodeJS, Amazon API Gateway

Experience working with Kafka or similar

Experience with Azure DevOps (ADO), Bitbucket, and Git‑based workflows.

Advanced use of VS Code and developer productivity tooling (e.g. Claude Code, Codex).

Databricks Certified Data Engineer Professional.

DAMA Certified Data Management Professional (CDMP).

Excellent verbal and written communication skills.

A collaborative team player, approachable, self-efficient and influences a positive work environment.

Demonstrates curiosity.

Resilient in a challenging, fast-paced environment.

Ability to take a high level of responsibility in a fast pace and high-volume environment.

Excels at building relationships, networking and influencing others.

Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness.

Conduct Rules, You must:

Act with integrity

Act with due skill, care and diligence

Be open and cooperative with the FCA, the PRA and other regulators

Pay due regard to the interests of customers and treat them fairly

Observe proper standard of market conduct

Act to deliver good outcomes for retail customers

Acting as a role model for the values of the Company:

Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients

Act with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders

Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face.

Be respectful – how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do.

Nurture talent – we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support – for ourselves, and our teams.

Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.

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