Senior Data Engineer - Cloud Data Pipelines for Health Insights

Optum; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Private health insurance

Wellness programs

Matching pension

Lunch provided

Training opportunities

Employee donations matching

Job summary

Optum Ireland is seeking a Senior Data Engineer to optimize consumer data flow, deliver actionable insights, and support migration of data to the cloud. You will enrich datasets, enhance predictive model accuracy, and drive efficiency across the organization.

The role emphasizes collaboration with business and analytics teams in a hybrid Dublin-based model. You will design robust data solutions, contribute to data planning, and ensure governance and data security in line with company standards.

Qualifications

• Proven ability to build scalable data pipelines using sound software engineering principles.
• Strong data analysis and data mining capabilities.
• Hands-on experience with cloud platforms and large-scale datasets.
• Proficiency in SQL and programming languages (Python/Scala/Java).
• Familiarity with Git workflows, CI/CD, and DevOps practices.
• Excellent communication and cross-team collaboration.

Responsibilities

• Develop and maintain ETL pipelines for diverse data sources.
• Integrate data from databases, APIs, streaming platforms, and external providers.
• Transform and normalize complex datasets for analytics and ML applications.
• Contribute to reusable data framework and enforce coding best practices.

Skills

Data pipelines

SQL

Python

Cloud platforms

DevOps / CI/CD

Data analysis

Snowflake/Databricks

Team collaboration

Job description

Optum Ireland is seeking a Senior Data Engineer to optimize consumer data flow, deliver actionable insights, and support migration of data to the cloud. You will enrich datasets, enhance predictive model accuracy, and drive efficiency across the organization.

The role emphasizes collaboration with business and analytics teams in a hybrid Dublin-based model. You will design robust data solutions, contribute to data planning, and ensure governance and data security in line with company standards.