Data Engineer

We have a fantastic opportunity for a Data Engineer to join Aviva Ireland's IT team. In this role, you'll help shape how data is leveraged across the business, acting as a trusted advocate for data-driven decision making and innovation.

You'll work with a wide range of stakeholders to design scalable data solutions, strengthen data governance practices, and unlock the value of our enterprise data assets. This is an exciting opportunity to influence strategy, drive innovation, and contribute to the evolution of Aviva's data capabilities.

• Design, develop and maintain Aviva's data architecture, ensuring the integrity, security and accessibility of critical data assets across the organisation.
• Collaborate closely with Software Engineers, Data Engineers, Data Scientists, MI specialists and key business stakeholders to deliver data solutions that support strategic objectives.
• Build pragmatic business cases and technical approaches that maximise the value of data while balancing operational, regulatory and project requirements.
• Implement and promote robust data governance frameworks, ensuring high standards of data quality, security, compliance and stewardship.
• Champion data innovation by increasing awareness of emerging technologies and opportunities, including AI, Machine Learning and other data-driven solutions.

The work you do at Aviva will make a real difference to our customers. We will recognise your contributions and reward you. From competitive salaries to generous pension contributions and paid paternity leave;take a lookthrough some of our employee benefits!

The expected pay range for this role will fall between €85,000 and €90,000 and salary offered willcommensurate with candidate'slevel of skills and experience.

• A competitive market leading salary depending on skills, experience, and qualifications.
• Generous pension (employee contribution matching of up to 14% if you contribute 8%).
• Annual performance related bonus and pay review.
• Holiday allowance of 29 daysplus bank holidays, and the option to buy/sell up to 5 additional days.
• Generous Health & dental insurance contributions.
• Aviva Matching Share Plan and Save As You Earn scheme and Approved Profit Share Scheme.
• TaxSaver Travel Scheme.
• Up to 40% discount for some Aviva products plus discounts for Friends and Family.
• Professional qualification support and transparent career progression plans.
• Brilliantly supportive policies including parental and carer’s leave.
• Flexible benefits to suit you, including sustainability options such as cycle to work .
• Make a difference, be part of our Aviva Communities and use your paid volunteering days to help others.
• We take your wellbeing seriously with lots of support and tools.
• We’re deeply invested in our people, our total reward package has so much to offer.

Our diversity and inclusion policies and initiatives are shaping an environment where everyone feels welcome regardless of age, disability, race, ethnicity, gender, gender identity, religion, culture, sexual orientation, national origin, marital status, pregnancy,maternityor those with other caring responsibilities. Our approach helps to ensure that Aviva is a place which values difference and provides equal opportunities for all.

We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

• Significant experience working within a data-focused role, with a strong understanding of data architecture, modelling and modern data engineering practices.
• Proven experience designing and implementing ETL/ELT solutions, alongside expertise across a range of data storage technologies including SQL and NoSQL environments.
• Excellent communication and stakeholder management skills, with the ability to influence and engage both technical and non-technical audiences.
• Experience applying data governance principles, policies and controls to support data quality, compliance and enterprise-wide standards.
• Knowledge of modern data technologies and frameworks such as Snowflake, Collibra, Master Data Management (MDM), data mesh, data lake architectures, AI and Machine Learning would be highly desirable.