Top Data Engineer Jobs in Melbourne

The Senior Azure Data Engineer role focuses on enhancing data infrastructure and analytics. Responsibilities include utilizing Azure Data Services for data engineering, managing data warehousing and ETL processes, and collaborating with teams to deliver impactful projects.

The AWS Data Engineer will design, implement, and maintain data pipelines on AWS and Snowflake. Responsibilities include developing ETL processes, collaborating with stakeholders for data solutions, managing data warehouses, and ensuring data governance and performance optimization.

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 an AWS Data Engineer at InfoCentric, you will work on data solutions utilizing your skills in Python, SQL, Apache Spark, and various AWS technologies. Your role involves collaborating with stakeholders to deliver quality data solutions that enhance decision-making and impact business success.

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.

As a Senior Data Engineer, you will collaborate with data analysts and stakeholders to develop data processing flows, propose cloud architecture solutions, and design data transformation processes. Your role involves building and maintaining big data solutions and ensuring data quality and security.

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.

As a Senior Data Engineer at GROW Inc, you will design and manage a scalable data platform, author clean code and documentation, mentor junior engineers, and enhance data quality. You will leverage diverse technologies for processing and warehousing data, contributing to the infrastructure development and improvements alongside your team.

The Data Engineer will develop, test, and maintain data architectures, focusing on databases and large-scale processing systems, and collaborate with stakeholders to deliver effective technical solutions.

As a Senior Data Engineer, you will implement innovative solutions using Quantexa’s software for various domains. Responsibilities include writing efficient production code, configuring software with technologies like Spark and Hadoop, and collaborating with solution architects to overcome big data challenges.

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.

As a Senior Data Engineer, you will collaborate with clients to design, build, and implement data transformation pipelines using various tools. Responsibilities include gathering business requirements, engaging in data sourcing and integration, and developing high-quality data processing solutions.

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.

The Senior Data Engineer/Analyst is responsible for designing and implementing data solutions that enhance business insights and improve operational efficiency. This role involves leading cross-functional teams, developing and maintaining data pipelines and analytics platforms, delivering scalable data solutions, and engaging in problem-solving and continuous learning.

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.

As a Database/Data Engineer at Hiveon, you will build, optimize, and maintain data pipelines for high-load systems, design efficient storage solutions, optimize queries, and support real-time and batch data processing to enhance product performance and reporting.