Data Engineer

Galway, Connaught, IEFull-time€45k–€60k2026-09-27 → 2026-11-09

Hybrid

Core

Design, develop, and maintain scalable ETL/ELT data pipelines and cloud data platforms to support enterprise data solutions and analytics.

Role type

Senior Data Engineer (Cloud & Data Warehousing)

Builds

Scalable ETL/ELT pipelines, ingestion frameworks, batch and near real-time data integration solutions, and curated data assets.

Domain

Insurance / Financial Services / Cloud Data Engineering

Required skills

Advanced SQL, Python, PySpark, Azure Data Factory, Azure Databricks, Azure Data Lake, Azure SQL/Synapse, Dimensional modelling, ETL/ELT design patterns, Data Warehousing concepts, CI/CD pipelines, Infrastructure-as-Code

Preferred skills

Power BI, Semantic models, Reporting optimisation, Data governance, Data quality controls

Technologies

Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Synapse Analytics, Apache Spark, PySpark, Power BI, Azure DevOps

Responsibilities

Design and implement reusable data processing frameworks; optimise data processing performance, reliability, and cost efficiency; develop dimensional and business-focused data models; implement automated data quality controls and lineage tracking; participate in code reviews and enforce engineering standards; mentor junior engineers.

Seniority

Senior, hands-on IC

About Metlife

MetLife is seeking an experienced director in Data Science for the Disability product initiatives within its Group Benefits business. The objective of these initiatives is to responsibly expand MetLife’s market share in the Disability & Absence space and to improve employer and participant satisfaction with MetLife’s Disability offerings, while meeting cost targets. Reporting directly to the CDAO for Group Disability insurance, this position will oversee all Advance Analytics and AI efforts for this product line.