Senior Data Engineer

Fidelity Investments Inc.; Galway; On-site; EUR 90,000 - 120,000; Full time

Job summary

Fidelity Investments Inc. is seeking a Data Engineer in Galway, Ireland to help design scalable data models and deliver analytics-ready data products on Snowflake and AWS.

The role focuses on cloud-native development, event-driven data solutions, and modernization across the Contact Center analytics platform. The ideal candidate will have 5+ years in data engineering, strong SQL, data modeling expertise, and experience with Snowflake, AWS, and data governance.

Qualifications

• 5+ years in Data/Analytics/Platform Engineering.
• Degree in CS, Engineering, Math, Statistics or related field.
• Strong data modeling expertise with dimensional design.
• Expertise in SQL development, optimization, and tuning.
• Hands-on Snowflake and modern cloud data platforms.
• Experience with OLTP/ODS data stores and real‑time data platforms.
• Experience designing analytics-ready datasets for BI and forecasting.
• Familiarity with AWS services and cloud-native architectures.
• Knowledge of data warehousing, distributed systems, and data governance.

Responsibilities

• Design and implement data models supporting analytics and forecasting.
• Develop analytics-ready datasets and curated data products in Snowflake.
• Build event-driven data pipelines using AWS and streaming tech.
• Collaborate with business and tech teams to translate requirements.
• Implement data quality, monitoring, observability, and resiliency.
• Apply data governance, security, privacy, and access controls.
• Automate deployments with CI/CD and IaC practices.
• Maintain and improve production data platforms.
• Knowledge of modern data architectures and data warehousing.
• Practice Git, CI/CD, automated testing and DevOps processes.

Skills

Data Modeling

SQL

AWS

Data Warehousing

Data Governance

CI/CD

Observability

Security

Analytics platforms

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

AWS (S3, Lambda, SNS, SQS, IAM)

Snowflake features (Snowpipe, Streams, Tasks)

Kinesis / Kafka

Terraform/OpenTofu/CloudFormation

Tableau/Power BI

Job description

Job Description:

The Role

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

• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.
• Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field.
• Strong experience in data modeling , including dimensional modeling and analytical data design.
• Expertise in SQL development, query optimization, and performance tuning.
• Hands-on experience with Snowflake and modern cloud data platforms.
• Expertise with read/write-intensive OLTP databases and/or Operational Data Stores (ODS).
• Experience with real-time or near-real-time data platforms, databases, or processing systems would be of benefit.
• Experience designing analytics-ready datasets for reporting, forecasting, and business intelligence.
• Experience with AWS services and cloud-native architectures.
• 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.

The Skills You Bring

• 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.

Your Key Responsibilities

• 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.

Success in the Role

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