Enterprise Data Integration Engineer | Enterprise Technology

Marex; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Marex, London-based financial services group, is hiring an Senior Enterprise Data Engineer to lead enterprise-scale data integration initiatives. You will design resilient ingestion, orchestration, and provisioning solutions, advancing data strategy and enabling data-driven decision making across the organization.

You will work closely with data, architecture, governance, and platform teams to implement API-led, event-driven, and service-based integrations using modern tooling and CI/CD

Qualifications

• Regulated environment experience with governance, risk, compliance, and audit requirements.
• Extensive data ingestion, orchestration, and provisioning capabilities for enterprise-scale workloads.
• Hands-on Databricks experience (AWS/Azure) and lakehouse architecture.
• Expertise with Kafka and event-driven integration, API-led patterns, and CI/CD.

Responsibilities

• Design and maintain enterprise data products providing trusted, governed access.
• Build resilient ingestion, orchestration, and provisioning solutions for diverse use cases.
• Deliver service-based and event-driven integration using APIs and gateways.
• Develop scalable data pipelines handling large-scale workloads while meeting regulatory requirements.
• Implement data quality controls, observability, and operational metrics.

Skills

Databricks Lakehouse

Kafka

API-led integration

Python

SQL

CI/CD

Git workflows

Databricks

Data governance

DevOps

Education

CDMP

Tools

Databricks

Azure Data Factory

Power BI

Dbt

NodeJS

Amazon API Gateway

Kafka

Git

Job description

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3000 employees across Europe, Asia and the Americas.

Overview of Marex / Department description

Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology-led service provides access to all major exchanges, order-flow management via screen, voice and DMA, plus award-winning data, insights and analytics.

The Technology Department delivers secure, scalable digital tools, software services, and infrastructure across all business units. Agile development teams align with specific business areas, while other teams handle enterprise-wide IT operations, support, security, and architecture.

The Enterprise Technology stream is responsible for building the platforms, services, and integration capabilities that underpin Marex's digital future. We create the shared technology foundations that enable product and engineering teams to move faster, operate at scale, and deliver exceptional client outcomes. As a centre of engineering excellence, we foster innovation, establish common technology standards, and develop reusable capabilities that accelerate delivery across Marex.

Role Summary
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.

Responsibilities

Role specific:

• 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.

All staff:

• 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).
• 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.
• 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

Company Values

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 fair 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.

Enterprise Data Integration Engineer | Enterprise Technology London, United Kingdom