Senior Data Engineer: Cloud Analytics (Snowflake/AWS)

Soteria Reinsurance Ltd.; Galway; Hybrid; EUR 80,000 - 110,000; Full time

Job summary

Fidelity Investments seeks a Senior Data Engineer to evolve an analytics platform powering reporting, forecasting, and insights across a 24x7 contact center. You will design scalable data models and deliver analytics-ready data products on Snowflake and AWS.

The role requires 5+ years of data engineering experience, strong SQL, data governance, and cloud-native development skills, with emphasis on real-time data pipelines and production quality practices.

Qualifications

• Bachelor’s degree in computer science, engineering, mathematics, statistics, or related field.
• 5+ years of experience in Data Engineering or related roles.
• Strong data modeling, dimensional modeling, and analytical data design.
• Experience with Snowflake and modern cloud data platforms.

Responsibilities

• Design and implement data models to support analytics, forecasting, and decision-making.
• Develop analytics-ready datasets and curated data products in Snowflake.
• Build event-driven data pipelines using AWS and streaming technologies.
• Partner with business and tech teams to translate requirements into scalable data solutions.
• Implement data quality, monitoring, and observability across platforms.
• Apply data governance, security, privacy, and access-control best practices.

Skills

Data Modeling

Snowflake

SQL

AWS

Streaming

REST APIs

CI/CD

Observability

Data Governance

Communication

Education

Bachelor’s degree in CS/Engineering/Math/Stats

Tools

Kafka/Kinesis

Terraform/OpenTofu/CloudFormation

Power BI/Tableau

Job description

Fidelity Investments seeks a Senior Data Engineer to evolve an analytics platform powering reporting, forecasting, and insights across a 24x7 contact center. You will design scalable data models and deliver analytics-ready data products on Snowflake and AWS.

The role requires 5+ years of data engineering experience, strong SQL, data governance, and cloud-native development skills, with emphasis on real-time data pipelines and production quality practices.