Data Engineer | Real-Time Data Platforms, Snowflake & AWS | Galway onsite

• Design and implement conceptual, logical, and physical data models that support analytics, reporting, forecasting, and operational decision-making.
• Develop and maintain analytics-ready datasets and curated data products in Snowflake.
• Build event-driven data pipelines and integrations using AWS and streaming technologies.
• Partner with business and technology teams to translate requirements into scalable data solutions.
• Implement data quality, monitoring, observability, reconciliation, and resiliency capabilities.
• Apply data governance, security, privacy, and access-control best practices.
• Automate deployments and operational processes using CI/CD and Infrastructure-as-Code.
• Support and continuously improve critical production data platforms.
• Knowledge of data warehousing, distributed systems, and modern data architectures.
• Experience with Git, CI/CD pipelines, automated testing, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.

• Data Modeling (Conceptual, Logical, Physical, Dimensional)
• Snowflake (Data Sharing, Snowpipe, Streams, Tasks, Dynamic Tables, Security)
• SQL and Data Warehousing
• AWS (S3, Lambda, SNS, SQS, IAM, Aurora/RDS, ECS/EKS, CloudWatch)
• Kafka, Kinesis, or other streaming platforms
• REST APIs and integration patterns
• CI/CD and Infrastructure-as-Code (Terraform/OpenTofu/CloudFormation)
• Monitoring, Alerting, Observability, and Production Support
• Data Governance, Metadata Management, Security, and Data Masking
• Experience building enterprise analytics platforms on Snowflake and AWS.
• Experience with Power BI, Tableau or similar tools.
• Experience with Collibra, Alation, or other data governance platforms.

Data Engineer with proven expertise in real-time data platforms, Snowflake, AWS, data modelling, and analytics-focused data engineering.

Location: Galway

Ways of Working: in Office

We are seeking a Data Engineer to help build and evolve the analytics platform that powers reporting, workforce planning, forecasting, operational insights, and modernization initiatives across the Fidelity Contact Center ecosystem. The Contact Center platform services over 20M clients and processes more than 35M customer interactions per year while operating on a 24x7 basis.

This role focuses on designing scalable data models, developing cloud-native and event-driven data solutions, and delivering trusted, analytics-ready data products on Snowflake and AWS. The ideal candidate combines strong data modeling expertise with modern software engineering and cloud-native development practices.

The Expertise We’re Looking For

The successful candidate will help build the data foundation that powers Contact Center modernization by delivering scalable, governed, and analytics-ready data products that support reporting, workforce planning, forecasting, operational insights, and future AI-driven capabilities.

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Category:

Information Technology