Senior KDB Data Engineer

Barclays; New York (NY); On-site; USD 170,000 - 227,000; Full time

Job summary

Join an innovative financial institution as a Senior KDB Data Engineer, where you will play a pivotal role in modernizing banking solutions. This position offers the chance to work on exciting projects involving containerization and cloud-native products, while collaborating with senior stakeholders. You will be responsible for building and maintaining data systems that ensure data accuracy and security. This is an exceptional opportunity to contribute to a forward-thinking company that values integrity and excellence, while driving your career forward in a dynamic environment.

Qualifications

• Strong Q/Kdb+ programming skills on Linux required.
• Experience in full lifecycle development of large Kdb+ systems.

Responsibilities

• Build and maintain data architecture pipelines for data processing.
• Design and implement data warehouses and data lakes.

Skills

Q/Kdb+ programming

Development in front office systems

Agile and SDLC processes

Maven

Java

Git

Team City

Jira

Confluence

Education

Numerate degree (computer science, maths, physics, engineering)

Tools

Maven

Git

Team City

Jira

Confluence

Job description

Embark on a transformative journey as a Senior KDB Data Engineer. At Barclays, our vision is clear - to redefine the future of banking and help craft innovative solutions. We aim to modernize, simplify, and standardize our KDB stack. KDB+ is a key part of the Data Strategy, and this team interacts with senior stakeholders daily. The estate is one of the largest across the street, providing key insights into design patterns used. There are challenges and opportunities as we move towards containerization and cloud-native products. Exploring Pykx, Data bricks, Snowflake integration with KX are some of the exciting projects in the pipeline.

To succeed as a Senior KDB Data Engineer, you should have experience with:

• Excellent Q/Kdb+ programming skills on Linux
• Development experience in front office and electronic trading systems
• Knowledge of agile and SDLC processes
• Experience with Maven, Java, Git, Team City, Jira, and Confluence

Additional valued skills include:

• A strong academic record with a numerate degree of 2:1 or higher, e.g., computer science, maths, physics, engineering
• Full lifecycle development on at least one large commercial system, ideally focusing on significant development of large distributed Kdb+ systems

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

This role is located in our New York, NY office.

Salary range: $170,000 - $227,000 (base salary, excluding other compensation or benefits)

Purpose of the role

To build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes, ensuring data is accurate, accessible, and secure.

Accountabilities

• Build and maintain data architecture pipelines for data transfer and processing
• Design and implement data warehouses and data lakes with appropriate security measures
• Develop processing and analysis algorithms suitable for data complexity and volume
• Collaborate with data scientists to build and deploy machine learning models

Vice President Expectations

• Contribute to strategy, drive requirements, and recommend changes. Manage resources, budgets, and policies; deliver continuous improvements; escalate breaches.
• If managing a team, define roles, plan for future needs, counsel on performance, and influence operations in line with strategic priorities while balancing goals and budgets.
• Demonstrate leadership behaviors: Listen and be authentic, Energize and inspire, Align across the enterprise, Develop others.
• For individual contributors, act as a subject matter expert, guide technical direction, lead assignments, and mentor less experienced staff.
• Advise stakeholders on impact and alignment, manage risks, and demonstrate accountability for controls.
• Understand organizational functions and collaborate across areas to support business strategies.
• Develop solutions through sophisticated analysis, research, and innovative thinking.
• Build trusting relationships with stakeholders using influencing and negotiating skills.

All colleagues are expected to embody Barclays Values: Respect, Integrity, Service, Excellence, and Stewardship, and to adopt the Barclays Mindset: Empower, Challenge, and Drive.