What is the opportunity?

This is an exciting opportunity to play a leading role within our Data Engineering squads, helping to design and build complex data flows that power critical business decisions.

You will work with our Enterprise Data Warehouse and Data Lake, supporting key digital, customer, and regulatory initiatives across the Group.

Joining a collaborative, agile environment, you'll help shape how we use data to drive transformation, while continuing to grow your own skills in a supportive, forward-thinking team.

In this role, you will:

• Design and build robust data pipelines within our Teradata Enterprise Data Warehouse, ensuring reliability and performance
• Apply engineering best practices such as code reviews, documentation, and quality controls
• Collaborate with technical and non-technical colleagues to deliver data solutions that meet business needs
• Mentor and support other engineers, while contributing to a positive and inclusive team culture
• Find opportunities to improve processes, drive automation, and enhance how we deliver value through data

What will make you stand out?

You bring strong experience working with data warehousing solutions and enjoy solving complex technical challenges. You are comfortable working with SQL and Python, and have hands-on experience with Teradata and data integration tools.

• Solid understanding of data warehousing concepts (Kimball and Inmon) and experience building and managing data pipelines across batch, CDC, API, streaming, and large/unstructured datasets
• Experience with workflow orchestration tools (e.g. Airflow, Oozie, Ctrl-M) and modern DataOps practices including CI/CD, version control, and automation (Bitbucket, Jenkins, Terraform)
• Familiarity with data governance, metadata management, and reporting/visualisation tools (e.g. Collibra, Atlas, Tableau, Power BI, Looker, Qlik)
• Comfortable working in agile delivery environments (Scrum, Kanban, SAFe) using tools such as Jira and Confluence, with an interest in AI, machine learning, and emerging technologies

Experience with any of the following will help you to stand out but is not necessary in order to apply for this role;

• Terraform
• Oracle
• SQL server

Essential Qualifications

• BSc or MSc in Engineering & Computer Science, Applied Mathematics, or Data Engineering.

More about the team

Our Data Engineering team sits within the Group Data & Analytics Office, the centre of excellence for data across the bank. We are responsible for delivering and maintaining the platforms that power critical insights and enable the Group's transformation agenda.

You'll be part of a collaborative and supportive team that values innovation, continuous learning, and shared success. We work in an agile way, embracing DevOps principles and modern engineering practices to deliver high-quality data solutions.

This is a hybrid role, based primarily in Dublin. We typically ask colleagues to spend a minimum of 8 days per month working in-person to support teamwork and connection. Specific arrangements will be confirmed by your recruiter to ensure they meet the needs of the role and team.

#li-hybrid #ij-hybrid

Why work with us?

The Bank of Ireland company culture prioritises work-life balance with an opportunity for flexible working, along with 23 days annual leave and excellent pension contributions. Family can mean different things to different people; we offer 6 months paid maternity leave, an innovative fertility and surrogacy policy and working parent supports.

Your wellbeing is important to us; we have an employee assistance program, WebDoctor and financial wellbeing coaches available. We also encourage and support staff to pursue educational and professional qualifications to grow and enhance your career!