Marex is a diversified global financial services platform, providing essential liquidity, market access and infrastructure services to clients in the energy, commodities and financial markets.

The Group provides comprehensive breadth and depth of coverage across four core services: Market Making, Clearing, Hedging and Investment Solutions and Agency and Execution. It has a leading franchise in many major metals, energy and agricultural products, executing around 50 million trades and clearing 205 million contracts in 2022. 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.

Marex was established in 2005 but through its subsidiaries can trace its roots in the commodity markets back almost 100 years. Headquartered in London with 36 offices worldwide, the Group has over 1,800 employees across Europe, Asia and America.

For more information visit www.marex.com (http://www.marex.com/)

The Data Engineer will be responsible for the development and delivery of performant data pipelines withing the firm''s data platform delivering data from diverse sources for use in Business Intelligence and Machine Learning solutions.

Responsibilities:

Designing and implementing data pipelines feeding data from source systems for Business Intelligence and Machine Learning solutions
Monitoring and supporting the existing data pipelines.
Design and evolution of the Data Platform
Advanced data modelling skills
Data transformation within the firm''s data platform for Business Intelligence and Machine Learning solutions
Proficient in performance analysis and tuning
Ensure data security policies are applied appropriately to the data platform
Assist with database administration tasks and support hours appropriate to your level

Competencies:

A collaborative team player, approachable, self-efficient and influences a positive work environment
Demonstrates curiosity
Resilient in a challenging, fast-paced environment
Excels at building relationships, networking and influencing others
Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness

Skills and Experience:

Essential

Experience of the Azure Data Platform including Data Factory, Data Lake, Azure Databricks, Synapse Analytics
Advanced SQL skills (SQL, T-SQL, PL/SQL)
Spark (Databricks)
Scripting skills (Python, PowerShell)
Data Lake Design - optimal layout for performance, security etc
Experience in managing and migrating large volumes of data. Compression, partitioning and ETL/ELT
Understanding of both batch and stream processing.

Desirable

Experience of other data cloud technologies – AWS, Azure, Oracle Cloud.
Power BI
MongoDB
Splunk
Data platform automation tools (Azure Devops, Redgate Flyway, Liquibase)
Experience of working in an Agile/SCRUM environment

Soft

Able to communicate effectively with varied colleagues ranging from senior stakeholders in different business areas through to the technical implementation teams.
Think long-term, but deliver iteratively, and show value in small but frequent advancements.
Understand industry trends and best practice and be selective about what is applicable for Marex.

If you''re forging a career in this area and are looking for your next step, get in touch!

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.

If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

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