Data Engineer – Cloud Data Pipelines & Analytics

Fidelity International; Dublin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Comprehensive benefits

Wellbeing support

Job summary

Fidelity International in Ireland seeks a Data Engineer to join the Data and Investment Analytics Technology, AMP team in Dublin. You will help deliver data solutions for Investment Management, Trading and Middle Office, leveraging Snowflake and modern data lake technologies.

The role emphasizes standardising data engineering practices, enabling automation, and collaborating with Architecture to support a scalable, compliant data platform across the business.

Qualifications

• Have a deep awareness of data technologies and data lake technologies.
• Proven ability to define and adopt best practices in Data Engineering.
• Passionate about people growth and adaptability to change.
• Understand technology skillsets and appreciate diverse cultures.

Responsibilities

• Work with central Engineering to standardise principles across the department.
• Promote latest data tooling and enterprise patterns for data solutions.
• Ensure learning pathways within the team are highlighted and encouraged.
• Drive automation and test-driven development across the department.
• Collaborate with Architecture to implement and maintain a future state architecture.
• Align priorities with Value Stream leads across business platforms.
• Embed Audit, Compliance, Regulatory & Risk in the engineering framework.
• Embed cost efficiency culture within the team.

Skills

Data engineering

Data lake technologies

Best practices in Data Engineering

People development

Continuous learning

Tools

Snowflake

Job description

Fidelity International in Ireland seeks a Data Engineer to join the Data and Investment Analytics Technology, AMP team in Dublin. You will help deliver data solutions for Investment Management, Trading and Middle Office, leveraging Snowflake and modern data lake technologies.

The role emphasizes standardising data engineering practices, enabling automation, and collaborating with Architecture to support a scalable, compliant data platform across the business.