Data Engineer (Mid-to-Senior)

Job Title:	Data Engineer (Mid-to-Senior)
Job ID:	58437867
Job published:	Tuesday November 11, 2025
Job Type:	Permanent
Employment type:	Full-time
Industry:	Engineering IT
Expertise:	Software Development
Salary Type:	annual
Location:	Ireland

Job Description

Job Title: Data Engineer (Mid-to-Senior)
Location: Dublin, Ireland
Type: Full-Time, Permanent

About the Role
We are seeking a mid-to-senior Data Engineer to join a highly technical data engineering team. This role will act as the “front door” for the team, improving communication across different business and technical functions while contributing to critical data engineering initiatives. You will work with modern data platforms, support analytics workflows, and play a key role in delivering AI/AML projects.

Key Responsibilities

• Serve as the primary liaison between business stakeholders and the technical data engineering team.
• Develop, maintain, and optimise data pipelines in Redshift, Airflow, dbt, and Flink.
• Support AI/AML initiatives using SageMaker and Python.
• Collaborate with cross-functional teams to ensure smooth data integration and accessibility.
• Assist in implementing best practices for data quality, governance, and documentation.
• Participate in problem-solving, troubleshooting, and performance tuning of data systems.

Required Experience & Skills

• Proven experience as a Data Engineer or in a similar mid-to-senior technical role.
• Hands-on experience with Redshift, Airflow, dbt, and Flink.
• Strong programming skills in Python and experience with AI/AML projects.
• Experience with large-scale data pipelines, data aggregation, and transformation.
• Excellent communication skills to interact effectively across business and technical teams.
• Ability to manage competing priorities and work in a fast-paced, collaborative environment.

Nice to Have

• Experience with SageMaker or other cloud-based ML platforms.
• Prior experience acting as a bridge between technical and non-technical stakeholders.
• Knowledge of data governance, best practices, and security standards in a regulated environment.