Data Engineering Lead

Reporting to (title): Factory Leadership

Description of business unit

Our growing and exciting Data Factory team provide engineering services across key technology platforms that underpin the Group's data architecture and data supply chains. We deliver Digital, Customer, Regulatory and other change initiatives that drive the Group's transformation agenda. We have fully embraced new ways of working such as scaled agile, DevOps and design thinking in a highly collaborative team environment.

Purpose of the Role

You will be responsible for the technical leadership and mentoring of engineering squads, ensuring that incoming change is 'engineering ready', that technical development processes and tooling is appropriate and effective, and that the quality of the solutions delivered into operational support are fit for purpose.

Key Accountabilities

• Providing technical direction and leadership to engineering squads
• Inputting to the process to assess whether incoming change is 'engineering ready' and works with business and IT colleagues to establish and manage entry requirements
• Defining the technical capabilities and resource profiles required within the squads, and works with internal resource management and external delivery partners to ensure the right capability is in place within the teams
• Engineering best practice adoption within the squads
• Ensuring engineering squads have the requisite tooling, methodology and process to drive delivery efficiency
• Identifying, developing proposals and managing the execution of initiatives to automate, simplify and scale services
• Being a leader for other engineers and ensures that career path and knowledge sharing is embedded in ways of working
• Striving to continuously develop new and improved data engineering capabilities
• Contributing to the continual improvement of the business's data platforms through observations and well-researched knowledge
• Continuously keeping track of industry best practices and trends and through acquired knowledge, which takes advantage of process and system improvement opportunities
• As a People Manager and a member of IT Engineering Leadership team you will drive engagement, and will be accountable for demonstrating and role modelling the Group values and behaviours through your people management and the way in which you deliver business goals.

What is the opportunity

You will work in a team of like-minded professionals with a broad range of experience and backgrounds across IT and the Business. You will help shape, guide and establish the ways of working, participate in exciting new technology initiatives and develop strategic capabilities to enable the banks shift to a digital relationship Bank. The Engineering function offers great prospects for career progression within the Bank along with opportunities to build and grow highly sought-after technical skills and capabilities.

Working at Bank of Ireland doesn't have to mean working in an office to have an impact. Our commitment to enabling colleagues to thrive means that depending on role type, you can have choice and flexibility in where you work and live. We have a hybrid working model, with home, agile hub and office based options available. We will always list a primary location which can be where you go for in person collaboration, and we will agree with you where you can best perform your role.

Essential Qualifications

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

Essential Skills & Experience

• Minimum 5 years' experience as Engineering Lead in the data warehouse domain
• Deep technical knowledge of Data Warehouse Technologies and Architecture, SQL, Teradata Solutions, Informatica and Tableau
• Large scale delivery experience and data management experience
• Scrum / Kanban and SAFe delivery experience
• Experience in data warehousing inclusive of dimensional modelling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth.
• Demonstrable experience and a deep knowledge of data mining techniques, relational, and non-relational databases.

Desirable Qualifications, Skills & Experience

• SAFe Agile Software Engineering