Sustainability Data Engineers

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of 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.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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.

Embark on a transformative journey as a Sustainability Data Engineers. At Barclays, our vision is clear –to redefine the future of banking and help craft innovative solutions. Join us in pioneering the intersection of sustainability and finance as we reshape the banking industry's approach to environmental stewardship. As our Sustainability Data Engineer, you'll be at the forefront of driving Barclays' ambitious sustainability related commitments, transforming complex environmental data into actionable insights that influence business decisions. This is your opportunity to make a lasting impact on global sustainability while working with progressive technologies and collaborating with diverse stakeholders across our international platform.

To be successful in this role, you should have: 

• Extensive experience in implementing RAG (Retrieval-Augmented Generation) architectures, including advanced techniques in document processing, semantic chunking, and vector embeddings for sustainability knowledge bases
• Considerable expertise in developing AI/GenAI solutions that combine traditional ETL pipelines with large language models to automate sustainability reporting and environmental impact assessments
• Proficiency in building data pipelines that integrate diverse environmental data sources, including company filings, regulatory databases, open-source data sets
• Demonstrated ability to implement advanced RAG functionalities such as hypothetical document embeddings, multi-vector retrieval, and recursive retrieval for complex sustainability queries
• Deep understanding of data quality management, version control, and metadata management for maintaining reliable and auditable sustainability metrics

Other highly valued skills include:

• Proficiency in AI/GenAI tooling ecosystem including AWS Bedrock for building production-ready sustainability solutions with containerization using Docker and Docker Compose
• Experience with AWS services (Lambda, ECS, SageMaker, S3) and API development using Flask/FastAPI to create scalable microservices architecture for environmental data processing and real-time sustainability metrics
• Considerable data manipulation and analysis skills using Pandas, NumPy, and specialized environmental libraries, with the ability to optimize large-scale sustainability datasets and create efficient ETL pipelines

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 is in Whippany, New Jersey