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.
* Generous Paid Time Off
* Universal Paid Parental Leave + flexible return to work program
* Paid Sabbatical after 5 years of continuous service
* 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)
How to Apply
Interested in this position? Please submit your resume and cover letter through the application portal.
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