Data Engineer
4 weeks ago
Sun Life Waterford, County Waterford, Ireland
Job Overview Data & Analytics Engineering – Lead Data Engineer. Design, develop, deploy and support leading data and analytical solutions that are high-quality, fully performing and compliant with all standards and best practices in support of our business. Work independently and apply leading data and analytical skills, tools, practices, and techniques to all deliverables. Exhibits a strong understanding of data and analytical concepts such as data architecture, development, testing, governance, security with a focus on learning more about these domains. Partner with U.S. IT and business groups to advance our strategy of realizing business value from data and utilizing data as a strategic asset. Ability to focus on task at hand, follow-through on prescribed plan with ability to be flexible and think under pressure. Highly motivated team player with a strong desire to learn, grow, and continuously improve.
Key Responsibilities Design, develop, deploy and/or maintain leading data and analytical solutions that are high-quality, innovative, efficient, secure, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and Client outcomes and objectives
Proven ability to work closely with Business organizations and collaborate with a team to deliver on business needs.
Drive U.S. IT and U.S. business groups to deliver data-informed product strategies
Execute full software and product development life cycle (SDLC) and lead continuous improvements leveraging Agile best practices
Write advanced well-designed, testable, flexible, and scalable data solutions.
Participate in data solution design, data analysis, development and testing.
Integrate leading software components into a fully functional software system
Troubleshoot, debug, and upgrade existing data solutions
Evaluate business and client feedback
Augment existing data sets with other data sources (i.e. external) to make reusable data assets
Technical Skills 5+ years experience with SQL.
3+ Experience with R, Python
Experience with ETL/ELT tools such as Informatica, SSIS etc.
Experience with BI tools not limited to Tableau, SSRS, PowerBI, QuickSight, Business Objects, LOGI etc.
Experience with Snowflake would be preferred.
Distinct advantage experience with Dataiku
Experience with Web Application Development would be preferred
Experience with AWS would be preferred
Experience with DevOPS and Data pipelines would be preferred
Key Skills Ability to lead, drive and deliver data-informed product strategies within a team or as an individual contributor.
Demonstrated aptitude towards problem identification, resolution and comprehension and interpretation of technical procedures.
Requires strong communication skills, both verbal and written, organizational skills, interpersonal skills.
Understanding of data governance, data protection, privacy and security best practices
Technically minded problem solver
Remain current with technology trends and influence change across U.S. IT
Job Category Advanced Analytics
Posting End Date 24/10/2025
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