API Data Engineer

• We're building a next-generation AI Control Tower to govern, monitor, and scale AI safely across the organisation
• As an API Data Engineer, we'll look to you to shape and drive the data architecture, set technical standards, and lead the development of this flagship platform
• If you're ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you're looking for

What you'll do

As an API Data Engineer, you'll be looking to develop innovative data driven solutions through data pipelines, modelling and ETL design. You'll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions.

You'll support our strategic direction by engaging with the engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture. In addition, you'll build a strong understanding of our API ecosystem and contribute to the design and delivery of API-enabled data services that support customer-facing and internal platforms.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy
• Designing and developing RESTful APIs and microservices to support secure data access and integration
• Integrating APIs with data platforms, streaming services, or cloud-based data platforms
• Ensuring API and microservice designs adhere to bank-wide security and compliance standards

To thrive in this role, you'll need a strong understanding of data usage and dependencies and experience of extracting value and features from large scale data. You'll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals.

You'll also need proven experience designing and building RESTful APIs and microservices, preferably using Java Spring Boot along with strong programming experience in Java alongside Python and Spark.

Additionally, you'll need:

• Experience of ETL technical design, data quality testing, cleansing, and monitoring, data sourcing, and exploration and analysis
• Data warehousing and data modelling capabilities
• A good understanding of modern code development practices
• Experience of working in a governed, and regulatory environment
• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders
• Experience integrating APIs with data pipelines, event streaming, or cloud-based data platforms