Data Engineer (VN3237/8)

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.

• →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

• 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

• 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

• 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

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

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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