JOB DESCRIPTION

The Vehicle Data Engineering team is seeking a Senior Software Engineer with a proven track record building large scale data streaming platforms. The ideal candidate will play a crucial role in developing and maintaining data-related systems comprising high throughput data streams, data curation and data storage / file system architectures, data security and governance, as well as inline inferencing and AI algorithms.

YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS):

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 5+ years software engineering experience, with a focus on data engineering and proficiency in Java.
• Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred , AWS, GCP).
• Experience in building distributed data processing micro-services and high-quality, scalable data products.
• Strong background in data modelling, metadata management and data quality.
• Knowledge in both relational and non-relational DB and experience in Schema design.
• Good understanding and experience with CI/CD practices.
• Strong problem-solving and analytical skills.
• Excellent teamwork skills, with a proven ability to collaborate effectively.

HYBRID:

This role is categorized as Hybrid. This means the successful candidate is expected to report to the Limerick office 3 times per week, at minimum.
Note : This job description is intended to provide a general overview of the position and does not encompass all tasks or responsibilities that may be required. Additional duties may be assigned based on business needs.

• Develop a scalable data platform to support continuing increases in data volume and complexity.
• Develop data pipelines to ingest, process, and curate large volumes of data using Akka or similar technologies.
• Support the infrastructure required for optimal ingestion, transformation, and loading of data.
• Collaborate with data scientists and analysts to support the needs of advanced ML development.
• Design and i mplement rigorous data validation, governance, and quality checks to uphold data integrity.
• Mentor & Support junior engineers by providing guidance, coaching and educational opportunities.