Senior Analytics Engineer — Hybrid Data Innovation

Optum; Dublin; Hybrid; EUR 95,000 - 130,000; Full time

Benefits offered by this job

Flexible work arrangements

Hybrid work model

Job summary

Optum in Ireland seeks a Senior Analytics Engineer to join an innovation-focused team. The role blends data exploration, analytics engineering and stakeholder collaboration to transform raw data into actionable insights.

You will work with Databricks, SQL and Python to build notebooks, visualisations and analytics assets that inform product direction and feature development. Flexible work arrangements are offered; employees in Ireland may split monthly hours between Dublin or Letterkenny offices

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
• Proven extensive experience in Analytics Engineering, Data Engineering, Data Analysis, or related discipline.
• Experience with enterprise-scale data warehouses, data marts, and analytical platforms.

Responsibilities

• Data Exploration & Analysis: investigate large, complex data sources to uncover trends and opportunities.
• Experimentation & Discovery: design and execute exploratory analyses to support product discovery.
• Stakeholder Engagement: partner with analysts, product managers and SMEs; present findings.
• Analytics Engineering: develop maintainable SQL and Python notebooks in Databricks; create reusable assets.
• Documentation & Knowledge Sharing: produce well-structured notebooks with narratives, findings and recommendations.

Skills

SQL expertise

Python proficiency

Databricks experience

Data profiling

Git/GitHub Actions

Communication skills

Education

Bachelor's degree in CS/Data Science/Engineering

Tools

Power BI

Notebook environments

Delta Lake

GitHub Actions

Job description

Optum in Ireland seeks a Senior Analytics Engineer to join an innovation-focused team. The role blends data exploration, analytics engineering and stakeholder collaboration to transform raw data into actionable insights.

You will work with Databricks, SQL and Python to build notebooks, visualisations and analytics assets that inform product direction and feature development. Flexible work arrangements are offered; employees in Ireland may split monthly hours between Dublin or Letterkenny offices