Senior Java Engineer (Big Data)
Are you a software engineer passionate about building scalable data systems and real-time platforms?
Do you want to leverage your backend engineering expertise in an exciting, high-impact data and analytics environment?
LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
ThreatMetrix , a part of RELX, is a global leader in digital identity intelligence and fraud prevention. Our engineering teams build high-performance systems that process billions of transactions, helping organizations make trusted decisions in real time.
As a Senior Java Engineer , you will play a pivotal role in designing and developing scalable backend systems and real-time data platforms . You will leverage your expertise in Java, distributed systems, and big data technologies to build and optimize services that process large-scale data streams and power critical fraud detection solutions.
Reporting to the Engineering Manager, this is a full-time role within a high-performing engineering team. This role will be based in Australia (Sydney preferred), with flexibility to work from home.
About the Data Platform & Streaming Team
Our Data Platform & Streaming team focuses on building and maintaining high-throughput, low-latency systems that handle massive volumes of data. Engineers in this team collaborate closely with data scientists, data engineers, and product managers to deliver real-time analytics and decisioning systems .
You will work on cutting-edge technologies including Apache Kafka and large-scale data platforms such as Snowflake and Apache Hadoop to power next-generation fraud detection capabilities.
• Design and develop high-performance Java-based backend services and microservices
• Build and optimize real-time data pipelines using Apache Kafka
• Develop scalable data ingestion and processing systems for large datasets
• Collaborate with data engineers, data scientists, and product teams to deliver data-driven solutions
• Troubleshoot, optimize , and improve system performance, scalability, and reliability
• Contribute to system architecture, design decisions, and engineering best practices
• Review code and mentor junior engineers
• Ensure high-quality, maintainable, and testable code
• Strong proficiency in Java (Spring Boot or similar frameworks)
• Hands-on experience with Apache Kafka (producers, consumers, performance tuning)
• Experience working with big data technologies , such as Apache Hadoop, or Snowflake
• Solid understanding of distributed systems and microservices architecture
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms (AWS preferred)
• Strong problem-solving and debugging skills
• Ability to work in a fast-paced, collaborative environment
Work in a way that works for you
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees.
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
• Discounted Health plan rate and Optical Assistance
• Life assurance and income protection
• Option to buy additional Annual Leave days
• Employee Assistance Program
• Flexible working arrangements
• Benefits for you and your family
• Access to learning and development resources
To learn more about opportunities with LexisNexis or RELX, join us here:
https://risk.lexisnexis.com/about-us/careers
https://www.relx.com/careers/join-us
We are looking to fill this role as soon as possible – apply now to be considered.
Thank you for your interest.



We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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