Senior Data Platform Engineer (Java, Spark, AWS, Production Systems)

TL;DR

Senior Data Platform Engineer (Java, Spark, AWS, Production Systems): Design, build, and operate mission-critical data ingestion, hydration pipelines, and scalable backend services for a distributed, multi-tenant platform with an accent on end-to-end reliability, performance, and secure, testable architectures. Focus on diagnosing complex system/test failures, leading system design and code reviews, and meeting non-functional requirements including scalability, availability, latency, security, and compliance (including HIPAA).

Location: Ireland

Company

hirify.global builds hirify.global Cloud, an AI-powered Experience Orchestration platform for customer and employee experience.

What you will do

• Design, build, and maintain high-scale data ingestion and hydration pipelines.
• Develop reliable, scalable backend services for a distributed, multi-tenant platform.
• Diagnose and resolve complex system and test failures end-to-end.
• Lead system design/architecture discussions and code reviews with a strong quality focus.
• Ensure non-functional requirements: scalability, availability, latency, memory efficiency, security, and compliance (including HIPAA).
• Implement and maintain unit, integration, and end-to-end tests integrated into CI/CD pipelines; mentor teammates and improve engineering/testing practices.

Requirements

• 5+ years of relevant experience; BS in Computer Science or equivalent practical experience.
• Proficiency in Java.
• Proven Big Data experience with large-scale data processing systems.
• Strong experience with Apache Spark (PySpark or Scala Spark).
• Solid data platform experience (data lakes, ETL pipelines, data modeling, governance).
• Experience building and operating REST APIs and distributed systems (scalability, synchronization, fault tolerance), plus messaging/integration patterns.

Nice to have

• Apache Iceberg and AWS Lake Formation (fine-grained access control).
• Apache Airflow; query engines such as Athena, Trino, or Redshift Spectrum.
• Serverless Framework; cost optimization (e.g., Glue/EMR tuning).
• Jenkins pipelines (Groovy); experience with Scala and/or Python.

Culture & Benefits

• Flexible work options: hybrid setup with remote flexibility and access to the Galway office.
• Career development through continuous learning, mentorship, and growth opportunities.
• Employer-supported pension scheme.
• Annual bonus and private health insurance (plus dental and wellness support).
• Income protection, life assurance, and financial planning resources.
• Family-friendly policies including generous maternity and paternity leave.

Hiring process

• Expect a response within 24–48 hours after applying.