Data Engineer (VN3237/8)

About Marex

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 2,300 employees across Europe, Asia and the Americas.

For more information visit https://www.marex.com/

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.

Role Summary

The Technology Department, reporting to the CEO, 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 Data & AI team drives productivity, compliance and insight through the firm's Data Lakehouse, enabling decentralized access to data, enhancing client experiences, promoting data-driven decision-making, and ensuring the efficient and auditable use of data in line with commercial terms and obligations.

The team works closely with the Data Office, which defines enterprise data products, requirements and governance standards. Technology is responsible for engineering, delivering and operating the platforms and data solutions that enable those products. While the Data Office sits outside Technology, this role partners closely with both functions to deliver scalable, business-aligned outcomes.

We are seeking a Data Engineer to design, build, and deliver performant data pipelines across the enterprise data platform, sourcing from diverse systems to power Business Intelligence and AI solutions.

The role is accountable for the safe, reliable, and frequent delivery of production-grade data pipelines, ensuring accurate, timely data across the business.

Working closely with DataOps, AI Engineering, Analytics Engineering, the role combines strong hands-on engineering with the judgement to translate governance, risk, and control requirements into scalable pipeline patterns, contributing to a culture of quality, automation, and operational excellence that supports delivery at the pace of the business.

In addition, the role will collaborate closely with Data Modelers and Data Analysts in the Data Office to enable the delivery and implementation of enterprise data products in an iterative fashion.

Overall Responsibilities

• Design and implement data pipelines within Databricks, feeding data from diverse source systems for Business Intelligence and Machine Learning solutions
• Design and evolve the Data Platform, applying Medallion Architecture (Bronze, Silver, Gold) principles to ensure clean, reliable data progression
• Build and maintain CI/CD pipelines for data workloads within Databricks, enabling controlled, automated promotion across development, staging, and production environments
• Apply test-driven development practices to data pipelines, including unit, integration, and end-to-end testing
• Monitor and support existing data pipelines, implementing data quality checks and observability to maintain platform trust and stability
• Perform data transformation within the firm's Databricks platform for Business Intelligence and Machine Learning solutions, applying advanced data modelling skills
• Apply performance analysis and tuning to optimize pipeline efficiency and platform scalability
• Apply software engineering and SDLC best practices consistently across data workloads
• Build reusable pipeline components, templates, and patterns to support consistency and accelerate delivery
• Ensure data security policies are applied appropriately across the data platform, supporting governance, risk, and control requirements
• Support production readiness and contribute to post-incident learning, feeding into continuous improvement of the platform's reliability and resilience
• Ensuring 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 complying with the FCA’s Code of Conduct
• To 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
• To report any breaches of policy to Compliance and/ or your supervisor as required
• To escalate risk events immediately
• To provide input to risk management processes, as required

Competencies, Skills and Experiences

• 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

Competencies

• Proven experience designing and delivering scalable, enterprise-grade data platforms that power business-critical analytics and decision-making
• Strong hands-on expertise with Databricks, Spark, and modern cloud technologies, with AWS experience highly valued
• Advanced programming and data engineering skills, including Python, SQL, and the development of high-performance data pipelines
• Experience building and optimizing both real-time and batch data processing solutions
• A passion for engineering excellence, with a focus on automation, CI/CD, reliability, observability, and data quality
• Experience working with large, complex datasets and delivering innovative solutions in dynamic, fast-paced environments
• Ability to navigate regulated environments while balancing business needs, governance, and risk requirements
• Collaborative mindset with experience working in Agile teams and partnering across technology, operations, and business stakeholders

Skills and Experience

• Experience in financial services, with exposure to ETD and OTC derivatives markets preferred
• Experience working with cloud platforms, including AWS and Azure
• Hands-on experience with data orchestration and transformation tools such as Apache Airflow, dbt, and Databricks Lakeflow
• Strong experience with Databricks, including Asset Bundles for pipeline packaging and deployment
• Infrastructure as Code (IaC) experience using Terraform or similar tools
• Proficiency with Git-based version control and DevOps tools (e.g., GitHub, Bitbucket)
• Advanced use of developer productivity tools, including VS Code and AI-assisted coding solutions
• Experience supporting machine learning pipelines and model lifecycle management (MLOps)
• Databricks Certified Data Engineer Professional certification preferred

Salary Range: $180,000 to $210,000 per year and eligible for discretionary bonus

Company Values

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

Respect - Clients are at the heart of our business, with superior execution and superb client service the foundation of the firm. We respect our clients and always treat them fairly.

Integrity - Doing business the right way is the only way. We hold ourselves to a high ethical standard in everything we do – our clients expect this and we demand it of ourselves.

Collaborative - We work in teams - open and direct communication and the willingness to work hard and collaboratively are the basis for effective teamwork. Working well with others is necessary for us to succeed at what we do.

Developing our People - Our people are the basis of our competitive advantage. We look to “grow our own” and make Marex the place ambitious, hardworking, talented people choose to build their careers.

Adaptable and Nimble - Our size and flexibility is an advantage. We are big enough to support our client’s various needs, and adaptable and nimble enough to respond quickly to changing conditions or requirements. A non-bureaucratic, but well controlled environment fosters initiative as well as employee satisfaction.

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 (where applicable).
• 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.

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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