Data Engineer

Job Profile

Euronext FX is a leading ECN for Spot FX and Precious Metals, as well as NDFs through its Singapore subsidiary Euronext Markets Singapore. Powered by award winning FastMatch® technology, Euronext FX has matching engines in London, New York, Tokyo and (through Euronext Markets Singapore) Singapore.

This best-in-class technology is leveraged to deliver flexible execution solutions and quantitative market data products.

Euronext FX is part of the Euronext Group, the leading pan-European exchange group, which operates regulated markets in Belgium, France, Ireland, Italy,

the Netherlands, Norway and Portugal, as well as non-regulated activities in 16 countries across the world..

As a Data Engineer you will play a critical role in designing, building and maintaining our data infrastructure, ensuring efficient and accurate data processing, storage and retrieval. You will also be responsible for  enhancing our data analytics platform. You will collaborate with cross-functional, globally distributed teams to support the growth of our business.

 

Key Accountabilities

• Develop and maintain scalable, reliable, and high-performance data pipelines to process, transform and load data into our data warehouse.
• Collaborate with software engineers, data scientists, business and product development teams
• Optimize data pipelines for performance and cost-efficiency, leveraging best practices and appropriate technologies.
• Implement data quality and validation checks to ensure accuracy and consistency of data.
• Document data pipelines, processes and workflows for internal reference and knowledge sharing.

Knowledge, Skills and Experience Required

• A degree in computer science, information systems or related field.
• At least 3 years’ experience as Data Engineer with track record of building and maintaining data pipelines.
• Proficiency in Python, including performance optimization techniques
• Fluency in Linux shell scripting
• Knowledge of Business intelligence and Data Visualization tools such as Tableau/PowerBI/Qlik
• Expertise in processing and storage of large-scale time-series data and knowledge of related technologies. Knowledge of KDB is a strong plus.
• Strong SQL and relational database experience
• Familiarity with cloud compute platforms is a plus.
• Understanding of software development life cycle
• Interest in automated testing and continuous integration
• A drive to learn and master new technologies and techniques
• Comfortable in a fast-paced, dynamic environment
• Excellent communication and collaboration skills
• Financial industry experience is preferred but not required