Senior Data Engineer - Service NSW Digital Services na myCareer - NSW Government
myCareer - NSW Government · Haymarket, Austrália · Hybrid
- Senior
- Escritório em Haymarket
Senior Data Engineer SNSW Grade 9/10 - base salary ranging from $130,507 to $157,430 Location – Haymarket, Parramatta or Gosford (3 days in office required) 1 x Ongoing Full-Time and 1 x Temporary Full Time (until March 2027) About our team Service NSW Digital is like nothing else in government. We are a diverse and vibrant team of talented Engineers, Designers and Product Managers, working together to develop impactful digital experiences that improve the lives of our 8+ million customers. What we offer Working on products & services that are meaningful and make a difference to the people of NSW. Key senior role within the business in a dynamic and collaborative delivery environment. Contribute to innovative and exciting digital projects. The opportunity to work on cutting-edge data lakes and event-driven platforms that enable large-scale data processing, driving Business Intelligence and real-time decision-making across critical services. A collaborative and high-performing team environment that values innovation and technical excellence. Exposure to large-scale, cloud-based data solutions and the latest technologies in data engineering. A flexible and hybrid work culture that supports work-life balance. Competitive salary and benefits, including opportunities for career progression and professional development. About the role You will be responsible for delivering expert advice and services in the design of data products and data-related services to support the achievement of business outcomes and strategic goals. As a Senior Data Engineer, you will play a key role in designing, building, and maintaining scalable data solutions for both real-time and batch processing. You will collaborate closely with cross-functional teams to develop a centralized data lake and real-time streaming solutions, ensuring efficient data ingestion, governance, and secure data sharing. Your expertise in cloud-based architectures, data pipelines, and event-driven solutions will drive innovation and enhance decision-making across the organization. This role combines hands-on technical skills, strategic thinking, and collaboration to deliver high-impact data solutions that align with business goals Key responsibilities include Partner with stakeholders to design, build, test, and maintain complex data management systems aligned with business needs. Develop automated, reliable, and secure data solutions to provide valuable insights and improve operational efficiency. Design and develop scalable event-driven and streaming solutions that process real-time data effectively. Architect and implement scalable, centralized data repositories that support structured, semi-structured, and unstructured data at any scale, empowering businesses to analyse historical and real-time data for trends, predictions, and actionable insights. Mentor and coach engineers to foster best practices in data engineering and software development. Provide expert guidance on data strategy, ensuring efficiency, reliability, and adherence to industry standards. Simplify complex data and technical concepts, making them accessible for non-technical audiences. Ensure compliance with security, governance, and data management best practices. Your skills and experience Proven experience in designing and developing scalable data platforms in cloud environments. Strong problem-solving skills with a passion for transforming complex data into actionable business solutions. Excellent communication skills and ability to collaborate with technical and non-technical stakeholders. Experience mentoring and coaching engineers to improve team effectiveness and technical capability. Demonstrated proactive leadership in driving high-quality, on-time project delivery while ensuring system reliability. Your technical skills Expertise in event-driven architectures and real-time data streaming technologies (Kafka, Confluent, Flink, etc.) Proficiency in cloud-based data solutions (AWS, GCP, or Azure) and distributed data processing frameworks. Strong background in SQL and NoSQL databases, data modeling, and ETL/ELT processes. Experience with programming languages such as Python, Java, or Scala. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD pipelines. Knowledge of data security best practices and
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