Company Overview National retailer are seeking a talented Data Engineer to join their team and help shape the future of their data architecture. The role is based in Frenchs Forest, New South Wales, with opportunities for flexible and remote work arrangements (2 days in the office, 3 at home) The Role As the Data Engineer, you will be responsible for designing and building scalable, high-performance data processing systems that support the analytical and operational needs of the business. You will collaborate with cross-functional teams to translate business requirements into technical specifications, ensuring the data architecture is aligned with the company's strategic objectives. Key responsibilities: Develop and maintain robust data models, Implement efficient data ingestion pipelines Ensure stringent security compliance across all organisational data assets Implement real-time data processing solutions using technologies like Apache Kafka and Apache Flink Ensure compliance with data governance and security requirements Integrate new data management technologies and software engineering tools Mentor team members on best practices and data architecture principles Skills and Experience Extensive knowledge and experience in SQL, database, and data lake technologies (e.g., Snowflake) Familiarity with data modelling tools and data warehousing methodologies Proficiency in programming languages such as Python, Java, or Scala for data processing Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (Azure) Strong analytical and problem-solving abilities, with a focus on designing and implementing secure, scalable, and high-performance data solutions Benefits Competitive salary and bonus package Opportunities for professional development and career advancement Flexible work arrangements, including remote work options Comprehensive health and wellness benefits Supportive and collaborative work environment By engaging Miller Leith for recruitment services and/or career support, you are agreeing to our Privacy Policy and Candidate Consent Form. For more information, please contact [email protected]. Privacy Policy: https://www.millerleith.com.au/privacy/ Consent Form: https://www.millerleith.com.au/candidate-consent/ Consultant [email protected] Reference number: BH-6296 Profession:TechnologyDatabase Development & Administration Company: Miller Leith Date posted: 31st Mar, 2025