What is the opportunity?

Join Bank of Ireland's Data Engineering team and play a leading role in our data and digital transformation journey. As a Lead Data Engineer, you will provide technical leadership while remaining hands-on in the design, delivery and optimisation of data solutions that support the Bank's Digital and Customer strategies.

Working within the Group Data & Analytics Office (GDAO), you will help shape the evolution of our cloud-based data platform, influence engineering standards and mentor other engineers. An excellent opportunity that involves modern data technologies while helping to drive innovation, automation and ongoing progress across the Bank!

In this role, you will:

• Lead the development, implementation and refinement of complex batch and real-time data solutions across the Bank's centralised data platforms, ensuring scalable and reliable outcomes.
• Deliver technical leadership, mentoring and guidance to Data Engineers, supporting agile delivery teams and helping to build a culture of engineering excellence.
• Drive guidelines across solution development, coding standards, testing, automation, governance, security, resilience and regulatory obligations.
• Champion creativity and ongoing improvement by advancing automation across the data delivery lifecycle. Demonstrate new technologies, including Artificial Intelligence (AI), and contribute to technology roadmaps and future engineering capabilities.

What will make you stand out?

We are looking for a collaborative technical leader with a strong engineering attitude, a passion for continuous improvement and a shown ability to deliver complex data solutions in large organisations. You take a proactive approach to solving challenges and are motivated by improving processes, developing people and enhancing the tools and technologies used by your team.

You will bring extensive experience as a Data Engineer, including a consistent record of providing technical leadership within cloud-hosted data environments. You have deep knowledge of data lake architectures, cloud technologies and modern data engineering practices, with experience working with environments including Amazon Web Services (AWS) and Cloudera (or similar).

Our Engineering Lead will be skilled in designing, building and optimising large-scale data solutions using languages such as Python, SQL and Apache Spark. You have experience delivering cloud-based data platforms, implementing data frameworks that are reusable and organized, and working with large, complex datasets including streaming and unstructured data.

You have strong knowledge of both relational and NoSQL database technologies, alongside experience designing and building streaming data pipelines using tools such as Kafka, NiFi, Flink and Spark Streaming.

The role will also bring a strong understanding of DevOps practices, including code management, Continuous Integration and Continuous Deployment (CI/CD), and workflow orchestration using platforms such as Airflow, Control-M and native AWS services.

Experience with the following will help you stand out but is not required to apply for this role:

• Experience delivering data engineering solutions within Financial Services or another regulated environment, with an understanding of governance, risk and compliance requirements.
• Experience leading technical teams, developing engineering capability and supporting cloud migration or data modernisation programmes.
• Experience supporting or implementing Artificial Intelligence (AI), Machine Learning (ML) or Generative AI initiatives, including AI-enabled engineering practices.
• AWS or Cloudera certifications and experience developing solutions using Java or Scala.

Essential Qualifications

There are no specific qualifications or minimum educational requirements needed for this role.

More about the team

The Data Engineering team provides engineering services for the Bank's Enterprise Data Warehouse, Enterprise Data Lake and Operational Data Store. As part of the GDAO we are at the centre of the Bank's data strategy and enable colleagues across the organisation to make better, data-driven decisions.

We work in a collaborative environment where learning, innovation and continuous improvement are encouraged. Our teams embrace modern engineering practices and explore new technologies to deliver valuable outcomes for customers and colleagues. You will have the opportunity to work alongside experienced experts, contribute to central initiatives and help shape the future of data engineering within Bank of Ireland.

This is a hybrid role, based primarily in Baggot Plaza, Dublin. We typically ask colleagues to spend a minimum of 8 days per month working in-person to support collaboration 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 25 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!