Senior Data Analytics Engineer

We are seeking a Senior Data Analytics Engineer to join our Business Intelligence team and enhance our data ecosystem, ensuring scalable, well-structured, and high-quality datasets that drive insights across the business. You will be responsible for building and optimizing data models, developing ETL/ELT pipelines, and improving data infrastructure to support analytics and reporting. This role requires a blend of data modeling expertise, engineering best practices, and strong collaboration with BI Analysts and Data Engineers.

What You’ll Do:

• Partner closely with cross-functional teams (Ops, Supply Chain, Product, Finance, Engineering) to identify data visibility gaps and ensure data supports business objectives.
• Develop and optimize core data models using DBT, designing scalable, reusable, and well-documented transformations that power dashboards, reports, and analysis across the organization.
• Collaborate with Data Engineering to design, optimize, and maintain efficient data pipelines, ensuring accuracy, availability, and performance.
• Enhance data validation and governance processes, driving best practices in data modeling, quality assurance, and documentation.
• Define and monitor key business KPIs, providing insights that drive experimentation, optimization, and strategic improvements.
• Support and administer BI tools (Looker, Heap, etc.), ensuring adoption and effective use across teams.
• Contribute to data infrastructure improvements, including refactoring legacy models and optimizing data warehouse architecture.

About You:

• 3+ years of hands-on experience with DBT, with a firm grasp of data modeling, warehouse concepts, and transformation logic.
• 4+ years of hands-on experience with large, complex data sets.
• Bachelor’s degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, Statistics…); advanced degrees and/or specializations a plus.
• Highly proficient in SQL, with experience optimizing queries in cloud-based data warehouses (Snowflake, Redshift, BigQuery, etc.).
• Strong Looker development skills, including LookML modeling, dashboard creation, and project structuring.
• Experience with code management and deployment on Github.
• Strong business acumen and ability to translate business needs into technical solutions.
• Excellent stakeholder management skills, with the ability to communicate effectively across technical and non-technical teams.
• Ability to work in a fast-paced environment, handle ambiguity, and manage multiple priorities.
• Experience leading or contributing to a data warehouse migration (e.g., Snowflake → BigQuery) is a plus.

Benefits:

• Generous Paid Time Off
• Universal Paid Parental Leave + flexible return to work program
• Paid Sabbatical after 5 years of continuous service
• Competitive Stakeholder Pension
• Comprehensive health, dental care and dependents care from day 1 of employment
• Company wide events and outings
• Hybrid Work (2-3 days per week in our Galway, Ireland office with the option to work 2 days remotely)