Senior Data Analytics Engineer

This is a fully remote position, open to applicants in Ireland, +3 more countries.

📋 Description

• Develop and sustain scalable, secure ETL/ELT pipelines, ingestion systems, and transformation workflows across distributed cloud data warehouses.

• Enhance query performance, cost-efficiency, and scalability as data volumes increase.

• Create standard data schemas, dimensional modeling frameworks, and automated validation tests to ensure data accuracy, consistency, and reliability for downstream processes.

• Oversee and optimize backend data layers that support business intelligence systems, reporting engines, and analytical discovery platforms.

• Execute query performance tuning, data partitioning assessments, and infrastructure scaling to manage computational overhead and latency within cloud data lakes.

• Collaborate with business units, IT leadership, and software engineers to translate business needs into sustainable data engineering architectures.

⛳️ Requirements

• Bachelor's degree in Data Engineering, Computer Science, Mathematics, Statistics, or a related technical field, or demonstrated professional expertise.

• Proven, high-level proficiency in advanced data transformation languages, cloud-native enterprise data warehouses (such as Google BigQuery), and scalable transformation tools.

• Established technical ability to manage, structure, and optimize semantic data models specifically designed for advanced analytics and visualization applications (such as Google Data Studio (Looker), Apache Superset, Workday Prism, or equivalent).

• Strong skill set in complex SQL dialect structures and professional backend data processing scripts (e.g., Python).

🏝️ Benefits

• Flexible work arrangements

• Professional development opportunities