Vice President - Senior Data Engineer

Overview

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.

• 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:
  To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
• If managing a team, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance and contribute to employee pay decisions/changes. Lead specialists to influence operations, balance short and long term goals, and ensure budgets and schedules meet corporate requirements.
• If the position has leadership responsibilities, demonstrate leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. For an individual contributor, act as a subject matter expert within own discipline and guide technical direction on multi-year assignments.
• Advise key stakeholders, identify risks, and contribute to governance and control improvements. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Collaborate with other areas of work to keep up to speed with business activity and strategies. Create solutions based on sophisticated analytical thought, evaluate alternatives, and develop innovative solutions.
• Build trusting relationships with internal and external stakeholders to accomplish key business objectives using influencing and negotiating skills.
• All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence and Stewardship and Barclays Mindset to Empower, Challenge and Drive.

• Embark on a transformative journey as a Vice President - Senior Data Engineer tribute to building a greenfield data and intelligence platform for Equities, defining architecture, tooling, and strategic direction of a modern data ecosystem.
• Partner with global engineering and business teams to deliver scalable analytics, enable real-time insights, and support data-driven decision-making across the trading organization.

• Considerable Python experience for data engineering and service development, leveraging frameworks and libraries such as FastAPI, PySpark, Pydantic, and asyncio.
• Practical expertise with AWS cloud services, including EC2, ECS/Fargate, EMR, Glue, and S3.
• Proficiency in data orchestration and workflow management tools like Airflow or Dagster.
• Familiarity with modern data lake architectures and storage formats, including Iceberg, Parquet, and data catalog solutions.
• Experience optimizing production systems through caching strategies using technologies such as Redis, Grid Gain, or Apache Ignite.
• Some highly valued skills may include:
  Databricks or Snowflake;
  Observability and monitoring…