Senior Engineer - Equities Data Platform in Canary Wharf

Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Senior Engineer in the Equities Data Platform team, responsible for managing data across the entire Equities business, including options trading, cash equities, and the structuring business.

We are embarking on a multi-year programme to consolidate and modernise our data architecture, deploying the latest real-time streaming and storage technologies across both cloud and on-premises environments. This transformation will enable us to deploy effective AI solutions that drive greater business insight and accelerate growth.

You will work in a fast-paced, front-office environment, balancing day-to-day delivery with strategic initiatives while demonstrating strong engineering capability and the ability to multitask. As a business-facing role, it requires excellent communication skills and the ability to manage stakeholder expectations effectively.

To be successful in this role, you should have:

• Extensive data engineering experience, with a strong background in collecting, processing, and enriching data within front-office environments, particularly Equities, Credit, or FX
• Proficiency in Python, with experience in an additional compiled language such as Java or C++
• Demonstrable experience working with SQL and database technologies

Highly Desirable Skills include:

• Hands-on experience with streaming technologies such as Apache Kafka, KafkaStreams and Apache Flink
• Experience working with storage technologies such as KDB+, Snowflake, Databricks, AWS S3, and AWS Aurora
• Proven ability to work closely with trading and quant teams, translating complex business requirements into practical technical solutions

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role will be based out of our London Canary Wharf Office.