Senior Data Engineer (Java & Spark)

Genesys empowers organizations to improve customer and employee experiences through AI powered platforms.

Join the Analytics Lakehouse team to design and operate mission critical, highly scalable data services in a fast moving, experiment driven environment.

What you'll do

• Design, build, and maintain high scale data ingestion and hydration pipelines.
• Develop reliable, scalable backend services supporting a distributed, multi tenant platform.
• Diagnose and resolve complex system and test failures end to end.
• Lead and contribute to system design, architecture discussions, and code reviews with a strong quality focus.
• Ensure systems meet non functional requirements such as 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 and support teammates; contribute to engineering and testing best practices across global teams.
• Evaluate and adopt new technologies; take ownership of features and operational excellence.

Minimum requirements

5+ years of relevant experience. BS in Computer Science or equivalent practical experience.

• Proficiency in Java and proven Big Data experience, including hands on work with large scale data processing systems.
• Strong experience with Apache Spark (PySpark or Scala Spark) and solid data platform experience (data lakes, ETL pipelines, data modeling, governance).
• Experience building and operating REST APIs and multi service (microservices/serverless) architectures.
• Strong understanding of distributed systems, scalability, synchronization, and fault tolerance.
• Experience with messaging systems and integration patterns.
• Strong written and verbal communication skills.
• Core technical skills: PySpark / Apache Spark (DataFrame API, SQL, partitioning, performance tuning), at least one JVM language (Java or Kotlin), build and test tooling (Gradle or Maven, pytest, tox), Git workflows, code reviews, and CI/CD pipelines.
• Observability: logging, monitoring, and alerting.
• AWS & Data Platform experience: Glue, Lambda, S3, SQS/SNS, IAM, CloudFormation.
• Columnar data formats, partitioning strategies, ETL design patterns, workflow orchestration (DAGs), testing/QA tooling.
• Experience with microservices or serverless architectures.

Nice to have

• Apache Iceberg; AWS Lake Formation; Apache Airflow.
• Query engines such as Athena, Trino, or Redshift Spectrum.
• Serverless Framework, cost optimization for Glue/EMR.
• Jenkins pipelines (Groovy).
• Experience with Scala or Python.

Culture & expectations

We're looking for engineers who raise the bar for those around them. You'll be expected to: act as a talent multiplier through mentoring and knowledge sharing; challenge assumptions and drive continuous improvement; take ownership and pride in delivering high quality solutions; stay curious and continuously learn.

Benefits

• Flexible work options - hybrid setup with remote flexibility and access to our Galway office.
• Career development - continuous learning, mentorship, and growth opportunities.
• Pension scheme - competitive employer supported plan.
• Annual bonus - rewarding your impact and contributions.
• Health coverage - private health insurance, dental plan, and wellness support.
• Financial protection - income protection, life assurance, and financial planning resources.
• Family friendly policies - generous maternity and paternity leave.

Reasonable Accommodations

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you may contact us at . You can expect a response within 24-48 hours.

Equal Opportunity Statement

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.