Senior Data Engineer (Java)

Job Title: Senior Data Engineer - (Java)
Location: Dublin / Hybrid
Job Type: Full-Time

About the Role:

We are seeking an experienced Senior Data Engineer with strong Java development expertise to join a high-performing technology team within the financial services sector. This role focuses on building scalable data platforms real-time processing systems and backend services that support business-critical analytics trading risk and regulatory reporting functions.

The ideal candidate will have deep experience in data engineering distributed systems and modern cloud-based architecture along with the ability to work closely with technical and business stakeholders in a fast-paced environment.

Key Responsibilities:

• Design develop and maintain scalable data pipelines and ETL workflows.

• Build high-performance backend services using Java (Java 8/11/17).

• Develop batch and real-time data processing solutions using Apache Spark and Kafka.

• Integrate and process data from multiple enterprise and market data sources.

• Optimize data storage transformation and retrieval processes.

• Ensure data quality governance security and regulatory compliance standards are met.

• Collaborate with traders risk analysts data scientists and engineering teams to deliver data-driven solutions.

• Improve system reliability scalability and performance across distributed environments.

• Contribute to technical architecture decisions coding standards and engineering best practices.

• Troubleshoot and resolve complex data and application issues.

Required Skills & Experience:

• Strong hands-on programming experience with Java.

• Solid understanding of modern Data Engineering principles and best practices.

• Experience working with:

  • Apache Spark

  • Kafka

  • SQL and NoSQL databases

  • ETL tools and frameworks

• Experience with cloud platforms such as AWS Azure or GCP.

• Knowledge of data warehousing and data modeling concepts.

• Familiarity with microservices architecture and distributed systems.

• Strong analytical troubleshooting and problem-solving skills.

• Experience working in financial services banking trading or capital markets environments.

Preferred Qualifications:

• Experience with Hadoop ecosystem technologies.

• Understanding of real-time streaming architecture.

• Exposure to CI/CD pipelines and DevOps practices.

• Knowledge of regulatory and financial data reporting requirements.

• Experience with containerization technologies such as Docker or Kubernetes.

About Sperton

This position is exclusively managed by Sperton a global talent partner connecting high-performing professionals with leading organizations worldwide.