Senior Software Engineer

Senior Software Engineer - Data & Analytics
Location: Galway (Hybrid, 1 week p/m onsite)
Rate: €500 per day
Duration: Initial 12 Months

About the Role
We are seeking a Senior Software Engineer to join a new team focused on building performance measurement characteristics for after-tax benchmarks. You will enhance an existing producer engine, collaborating closely with producer, data sourcing, and API teams to deliver scalable and high-impact solutions. This is an exciting opportunity to work on a strategic initiative within wealth management technology, with exposure to modern big data platforms, cloud technologies, and infrastructure-as-code practices.

Key Responsibilities

• Design and develop scalable ETL data flows using Snowflake and Oracle.
• Build big-data solutions with Java, Scala, and Spark on AWS EMR.
• Implement infrastructure-as-code solutions, with strong preference for Terraform.
• Partner with cross-functional teams to deliver robust data and analytics solutions.
• Contribute to an agile, collaborative, and innovative engineering culture.

Skills & Experience Required

• Bachelor's or Master's in Computer Science, Engineering, or a related field.
• 5+ years of software design and development experience.
• Strong database expertise with Snowflake and Oracle.
• Hands-on experience with Java and/or Scala.
• Proven Spark experience, ideally with AWS EMR.
• Cloud technologies experience (AWS, Docker, EKS).
• Knowledge of DevOps tools: Maven, Jenkins, GitHub, Terraform, Docker.
• Strong design and analytical skills for large-scale data platforms.
• Agile/Scrum development experience.
• Excellent communication and collaboration skills.
• Financial services experience is a plus, but not essential.

Nice-to-Have

• Experience with automated data testing using PySpark or custom frameworks.

Why Join Us?

• Be part of a new, high-impact team driving innovation in wealth management technology.
• Work in a collaborative, growth-oriented culture that values creativity and continuous learning.
• Gain exposure to cutting-edge big data and cloud technologies while developing solutions that make a real difference.