Cyber Data Engineer: Scalable Pipelines & Analytics

Fidelity Investments Inc.; Dublin; Hybrid; EUR 65,000 - 100,000; Full time

Job summary

Fidelity Investments Inc. is seeking a Data Engineer in Dublin, Ireland to design and maintain scalable data solutions, pipelines, and complex data models. The role supports identity and access management analytics and data-driven decision making for executives.

You will work with Snowflake, AWS, Python, and BI tools to ensure data quality, performance, and security, in an Agile environment with collaboration across product teams.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related technical field.
• 2-5 years of relevant work experience in data engineering and data analysis.
• Proven ability to build data pipelines and ensure data quality (accuracy, consistency, completeness).
• Experience with data modeling (3NF and Star Schema) and analytics visualization (Power BI).
• Hands-on AWS experience and CI/CD tooling (Jenkins, GitHub).

Responsibilities

• Design and build scalable data solutions, including pipelines and data modeling.
• Perform data analysis to assure data quality and identify gaps.
• Collaborate with product owners to translate requirements into technical tasks.
• Analyze and manipulate datasets to ensure data integrity, accessibility, and security.
• Integrate automated testing and validation into sprint cycles for reliability.
• Develop end-to-end solutions using distributed platforms and modern analytics tech.
• Support production systems for performance and reliability.
• Identify opportunities to enhance capabilities in a cloud environment.

Skills

SQL

Data analysis

Communication & presentation

Agile (Scrum/Kanban)

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Snowflake

PostgreSQL

SQL Server

Oracle

Python

NiFi

dbt

Power BI

AWS (S3, EC2, RDS, EKS, Batch, CloudFormation)

Jenkins

GitHub

Control-M

Job description

Fidelity Investments Inc. is seeking a Data Engineer in Dublin, Ireland to design and maintain scalable data solutions, pipelines, and complex data models. The role supports identity and access management analytics and data-driven decision making for executives.

You will work with Snowflake, AWS, Python, and BI tools to ensure data quality, performance, and security, in an Agile environment with collaboration across product teams.