Senior Data Engineer

Mō te tūranga | About the Role The Senior Data Engineer provides expert domain knowledge and expertise in the area they are working in, and as a senior member of the squad, offers mentorship and guidance to others. They operate with greater scope within the service group, wider technology business unit, and with business stakeholders to ensure high levels of Service Delivery and an overarching focus on risk and compliance. What You’ll Do Provide technical leadership and guidance within the squad, shaping engineering practices, solution design, and platform stability. Ensure CDC platforms, data products, and pipelines remain reliable, secure, compliant, and aligned with organisational risk and regulatory requirements. Drive the resolution of complex production issues, including coordinating on‑call coverage, early life support and critical incident response. Translate business and architecture requirements into scalable technical designs, ensuring consistency with wider Technology patterns and standards. Maintain and improve service operations by ensuring SLAs, monitoring, and system health metrics are consistently met. Contribute to squad level standards for engineering quality, tooling, coding practices, documentation, and deployment processes. Mentor engineers, fostering technical growth, capability uplift, and a culture of excellence across the squad. Support prioritisation alongside Leads, Service Owners, and Delivery Leads, advising on scope, timelines, and technical dependencies. Lead problem investigations, root‑cause analysis, and continuous improvement initiatives to enhance platform stability and performance. Manage relationships with internal stakeholders, third‑party vendors, and platform partners to ensure the delivery of high‑quality outcomes. Nā tāu rourou | What will you bring? 5+ years of experience in software development, data engineering, platform engineering, or a related technical discipline. Solid understanding of CDC patterns and data streaming patterns. Strong programming skills in Java and Python. Deep experience with the Kafkastack, building real‑time publishers and consumers. Familiarity with the Hadoop stack, particularly HDFS and Spark. Experience orchestrating data workflows with Airflow. Understanding of data encryption standards and secure software development practices. Experience with Terraform, CI/CD pipelines and containerisation. Familiarity with code quality and security scanning tooling such as SonarQube and Snyk. Demonstrated ability to assess new technologies, review vendor solutions, and recommend improvements to existing engineering approaches. Proven capability in diagnosing and resolving complex technical issues throughout the application lifecycle. Strong understanding of quality assurance, testing frameworks, and continuous improvement. Tertiary qualifications in Computer Science, Information Systems, Engineering, or related discipline, with relevant technical certifications preferred. Demonstrated ability to mentor, support and grow engineers. Comfortable in Agile delivery and modern DevOps practices. Benefits 4 weeks standard holiday + 5 additional days of wellbeing leave Additional purchased leave options up to 4 weeks per year Banking benefits, insurance discounts and superannuation scheme Growth and development opportunities and internal mobility Recognition for star performers School holiday subsidy 2 Volunteer days per year We encourage people from all walks of life to apply, including those who are neurodiverse, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities. Applications Close 22 July 2026 #J-18808-Ljbffr