Top Data Engineer Jobs in Sydney

As a Data Engineer, you will collaborate with teams to drive data modelling and contribute to data application projects, providing essential data insights for decision-making.

The Data Developer will engage in data business development by analyzing existing backend data, overseeing data governance and optimization, and maintaining the data platform to ensure stability and performance. Responsibilities include applying data analysis algorithms, optimizing data structures, and resolving platform issues.

As a Senior Data Engineer, you will design, build, and maintain data pipelines on Google Cloud Platform (GCP). Responsibilities include developing scalable data models, utilizing GCP services for data processing, and ensuring data architecture's performance and reliability while collaborating with cross-functional teams.

As a Senior Data Engineer, you will design and build scalable data platforms, write clean and effective code, lead technical problem-solving, and mentor junior engineers while contributing to data quality and automated testing.

As a Senior Data Engineer at OFX, you will create and maintain data pipelines, collaborate with engineering teams, troubleshoot production issues, and improve systems through repeatable processes. You will work in cloud environments, ensuring high-quality data delivery and providing technical support to meet organizational needs.

The Senior Data Engineer will support the Customer Success Organization by architecting and maintaining scalable data solutions using tools like DBT, Fivetran, Airflow, and Snowflake. Responsibilities include diagnosing issues in distributed systems, automating infrastructure, mentoring junior engineers, and ensuring best engineering practices within the team.

The Senior Data Engineer will collaborate with data analysts and stakeholders to establish data processes and solutions using GCP. Responsibilities include proposing cloud architectures, maintaining data quality, developing data pipelines, and promoting data integrity while leveraging various data technologies.

The Staff Data Engineer at Blinq will lead and maintain data engineering infrastructure, designing scalable data processing systems, optimizing data pipelines, and ensuring data quality. Collaboration with Product and Engineering teams is crucial to align data initiatives with business objectives, drive insights, and document workflows for clarity across teams.

The Senior Staff Data Engineer will collaborate on data modelling and solution design, focusing on data architecture, large-scale data processing, and analytics. Responsibilities include coaching junior engineers, ensuring code quality, and leveraging various tools and methodologies to enhance data management and visualization.

As a Senior Data Engineer, you will design and build scalable data pipelines into Snowflake, enhance data models for analytics, guide complex data projects, and mentor a growing data team. You will also ensure efficient data access for stakeholders and stay updated on industry trends to optimize processes.

As a Senior Data Engineer at Blinq, you will oversee the data analytics infrastructure, ensuring data accuracy, maintaining dashboards, and collaborating across teams to drive data quality and align strategies with business goals. You'll construct and optimize data processing systems, integrate data from various sources, and implement quality checks.

The Staff Data Engineer - Flink will design, develop, and optimize real-time data streams using Apache Flink. Responsibilities include creating robust Flink pipelines, managing stateful stream processing, collaborating with engineering teams for integration, monitoring performance, resolving data processing challenges, and staying updated with streaming technology trends.

As a Senior Staff Data Engineer, you will engage in the data development lifecycle, managing large-scale data processing on AWS, and working collaboratively to enhance data strategies. Responsibilities include implementing data governance, mentoring junior engineers, and ensuring code quality through CI/CD practices and peer reviews.

The Staff Software Engineer will work on building and maintaining data platforms and systems, leveraging big data technologies and AI. Responsibilities include collaborating with stakeholders, designing data products, developing CI/CD automation, implementing Infrastructure as Code, and leading teams while ensuring high quality and timely delivery. The candidate will also mentor peers and lead technical discussions, focusing on delivering customer value through data-driven solutions.

As a Senior Data Engineer, you will design and implement end-to-end Big Data solutions, utilizing your expertise in data modeling and engineering. You will lead the development of strategic data warehouse applications and collaborate with various stakeholders to deliver high-quality outcomes. Your experience in cloud platforms and Big Data technologies will be key in driving innovative data-driven solutions.

As a Senior Data Engineer at Eucalyptus, you'll transform raw data into actionable insights by designing and building scalable data pipelines, optimizing data architecture, and mentoring colleagues on best practices. You will work closely with various teams to ensure data reliability and performance, tackling challenges involving machine learning and generative AI.

As a Senior Data Engineer, you will design and maintain SQL data warehouses, build reports using SSRS, create dashboards with Superset, and ensure efficient data pipelines with Airflow. Your role focuses on optimizing stored procedures and delivering actionable insights for the Cupid Media product within the social discovery platform.