Top Data Engineer Jobs in Sydney

Responsible for managing trading-related data systems, ensuring data storage and processing efficiency, and collaborating with engineering and trading teams.

The Principal Data Engineer will architect and evolve the core data platform, implement data governance, mentor junior staff, and collaborate with various stakeholders to enhance product and business strategy.

As a Data Engineer, you will develop, maintain, and support scalable data pipelines and systems, ensuring data integration, quality, and performance optimization for innovative payment solutions.

The role involves designing and implementing scalable data pipelines and infrastructure on GCP, ensuring data quality, and collaborating across teams for operational excellence.

Design and deliver scalable Databricks Lakehouse solutions while collaborating with clients to address data challenges and enhance AI capabilities.

As a Data Engineer at Kyndryl, you will design and implement scalable data platforms, build ETL pipelines, ensure data governance, and collaborate with teams to deliver AI-driven data solutions. You'll also mentor junior engineers and drive DataOps best practices.

As a Data Engineer, you will design, build, and maintain a scalable data infrastructure, ensuring data quality and accessibility while collaborating with cross-functional teams.

The Data Engineer Consultant develops data models, designs ETL processes, analyzes data sources, and collaborates on analytics requirements to enable data-driven decision-making.

As a Data Engineer, you will design and optimize cloud-native ETL pipelines, transforming raw data into insightful analytics while collaborating with teams and implementing best practices in a cloud environment.

The Data Engineer will design data pipelines, create data models, and harmonize data for business insights while collaborating with teams to ensure solutions fit architectural requirements.

As a Data Engineer at SafetyCulture, you'll deliver quality data for analytics, manage data architecture, and collaborate across teams to optimize data sources and support decision-making.

Seeking Data Engineers to modernize data platforms, optimize existing Snowflake datasets, and contribute to solution design and technical decisions in a consulting environment.

The role involves scraping, cleaning, and maintaining datasets focused on global wealth migration, producing annual reports, and creating visualizations.

Lead the design and optimization of the enterprise data platform, overseeing development, ensuring scalability and compliance, mentoring junior engineers, and enhancing capabilities with emerging technologies.

The Data Engineer will design data models, maintain data pipelines, ensure data quality, and explore AI technologies to enhance workflows.

Seeking a Sr. Data Engineer to collaborate with data teams, develop data pipelines, and adhere to data management standards using various AWS services and tools.

As a Data Engineer, you will build and optimize data solutions, manage data pipelines, and engage clients for technical projects using cloud and Databricks.

Design, build, and optimize scalable data and AI solutions, lead engagements with executives, and mentor teams to drive high-quality outcomes in Data & AI.

This role involves collecting and processing audio data, managing cloud infrastructure on GCP, and collaborating with AI scientists to improve data quality and cost efficiency.

The Master Data Developer designs and configures PIM solutions, ensures data integrity, assists in MDM strategy, and maintains relationships with stakeholders.

Design and maintain data pipelines for financial data products, mentor junior engineers, and enhance engineering standards in the Batch and ETL team.

In this role, you'll monitor data pipelines, perform quality tests, resolve data incidents, and implement automation for reliability in trading operations.

As a Frontend Software Engineer, you will develop the Feedzai Orchestration product, focusing on user-friendly complex data tasks. You will collaborate with designers, backend engineers, and product managers to deliver high-quality web applications, iterating in an Agile environment.

The Staff Data Engineer will lead data engineering practices, optimize data pipelines, ensure data quality, collaborate across teams, and document processes.

Seeking a Senior Data Engineer with 7-10+ years of experience in data engineering, cloud computing, and strong SQL expertise. Responsibilities include data modeling, ETL processes, collaboration, and stakeholder engagement. Upskilling in Snowflake may be required.