Software Engineer - Automation and Data Analytics

Software Engineer (12 months)

Join us as a Software Engineer

• This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
• Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions
• It’s a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders
• We are offering this role for a period of twelve months

What you'll do

In your new role, you’ll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.

You’ll also be:

• Producing complex and critical software rapidly and of high quality which adds value to the business
• Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
• Collaborating to optimise our software engineering capability
• Designing, producing, testing and implementing our working software solutions
• Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

This role is ideal for a technically skilled individual eager to work with innovative technologies to deliver high‑impact automation solutions. You’ll enhance your software engineering capabilities while contributing to critical transformation across the organisation.
In this role, you’ll apply established software engineering and data analytics principles to design, build, test, and maintain automated solutions and services.

What you'll do:

You’ll analyse, design, and implement automation solutions that streamline business processes across RPA, data analytics, Power Platform, and AI/ML.
You’ll collaborate closely with cross‑functional teams to deliver robust, scalable, and efficient automation capabilities.

Your responsibilities include:
• Designing, developing, and maintaining automation projects that support control testing and continuous controls monitoring.
• Building reusable libraries and APIs to enable consistent and scalable automation across the bank.
• Working with stakeholders to gather requirements and translate them into technical specifications and solution designs. Analysing complex datasets to uncover insights, trends, and opportunities that inform decision‑making.
• Developing dashboards, data models, and reports using Python, Tableau, R, Power BI, and Excel VBA. Providing operational support, including upgrades, fixes, and process enhancements.
• Monitoring system performance and resolving issues proactively. Evaluating existing processes and identifying opportunities for optimisation.
• Partnering with process owners to redesign processes using automation and data‑driven approaches.
• Delivering training and guidance to end‑users and colleagues on implemented solutions and best practices.
• Working with IT, Risk & Controls, Enterprise Engineering, Data & Analytics, and the RPA CoE to ensure seamless integration of automation into the wider technology landscape.

To succeed in this role, you’ll need a strong foundation in software engineering and automation development, with experience delivering scalable and reliable solutions.

You’ll also need:

• 4+ years of experience developing automation solutions using RPA, data analytics, Power Platform, and AI/ML tools. Hands‑on experience with RPA platforms such as UiPath.
• Strong proficiency in data‑focused tools and languages such as Python, R, Tableau, Power BI, and VBA.
• Understanding of machine learning concepts and familiarity with generative AI models. Knowledge of software delivery lifecycle stages and modern development methodologies.
• Experience designing, developing, and maintaining application code across multiple frameworks and technologies. Understanding of technology risks and controls.
• Knowledge of API integration and cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent problem‑solving skills and attention to detail. Ability to work independently and within collaborative teams.
• Strong communication skills, with the ability to simplify complex technical concepts for non‑technical audiences.

Hours

45

Job Posting Closing Date:

30/05/2026

Experience Level

Mid Level