Front Office Data & Analytics Application Engineer

Location: Houston

Sector: Trading, Data Science, Front Office Engineering

Our client, a leading player in the global trading landscape, is seeking a Front Office Data & Analytics Application Engineer to join a high-performance team operating at the intersection of software innovation and commercial strategy.

This opportunity is to work in a truly dynamic and data-rich environment, partnering directly with traders and research analysts. The role offers the chance to build cutting-edge applications in real time, underpinned by modern cloud technologies and sophisticated data engineering practices. The successful candidate will be a key contributor to the design and delivery of mission-critical analytics tools, components, and platforms.

Core Responsibilities:

• Design and engineer microservices, frameworks, and applications tailored for the front office.
• Build robust cloud-native big data platforms and analytics pipelines.
• Develop and maintain time-sensitive data integration flows (ETL/ELT).
• Contribute to global infrastructure and shared services with a focus on scalability and performance.
• Apply software craftsmanship, domain-driven design, and agile delivery principles.
• Solve complex business problems with elegant and efficient technical solutions.

Required Experience and Skills:

• 5+ years of software engineering experience in a data-driven environment.
• Proficiency in Java, React and Python with a strong foundation in object-oriented programming.
• Demonstrated expertise in test-driven development and modern SDLC practices.
• Solid experience with cloud ecosystems; AWS knowledge (S3, Redshift, Glue, Lambda) highly advantageous.
• Experience building Front End micro-apps or micro-views is a welcome asset.
• Bachelor's degree in Computer Science or a related technical discipline.