Cloud Data Engineer at Shift, focusing on building and operating data pipelines on Azure for Australian SMEs. Collaborating across teams to enhance data integration and quality.
Responsibilities
Build, run, and maintain robust data pipelines using Azure Data Factory in production
Enhance and support seamless data integrations between internal systems and third-party SaaS platforms
Develop and optimize SQL-based data stores, focusing on table design, indexing, and performance tuning
Help introduce Microsoft Fabric components (such as pipelines and data agents) as we level up our platform
Monitor, troubleshoot, and resolve pipeline or data quality issues to keep things running smoothly
Maintain cloud data stores for analytics, automation, and AI-driven workloads
Support the integration of curated datasets into downstream AI and automation tools
Contribute to key data architecture decisions, design patterns, and platform standards
Collaborate closely with technology, data, and business teams to deliver solutions that make a difference
Requirements
Bachelor’s degree in computer science or an equivalent qualification
3–6 years’ experience in data engineering, analytics engineering, or cloud platforms
Hands-on experience with Azure Data Factory and operating Azure data pipelines
Strong SQL skills—query optimization, table design, and performance tuning are your jam
Experience integrating data from internal systems and third-party SaaS products
Familiarity with Microsoft Fabric (such as pipelines, notebooks, or data agents) is a bonus but not essential
Experience working with cloud data storage services in production (Azure SQL, Data Lake, etc.)
Practical programming experience in Python or C# is advantageous
Contributions to shared data platforms across teams or domains
Ability to apply best architectural practices in a governed cloud environment
Experience supporting platforms that feed analytics, automation, or AI-driven projects is a plus.
Benefits
Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business.
Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy.
Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy.
Family support – industry leading 26 weeks paid parental leave.
Purpose built spaces within our office – designed for collaboration, brainstorming, socialising, and focused work.
Range of benefits supporting your physical, psychological and financial wellbeing. From a day off on your birthday to excellent end of trip facilities.
Senior Data Engineer at Assembly working on data integration, transformation, and analytics collaboration. Handling cloud services and data quality across data projects with cross - functional teams.
Senior Data Engineer developing scalable data pipelines and collaborating with cross - functional teams at Technis. Technical guidance in a hybrid work environment based in Lausanne, Switzerland.
Data Engineer designing and maintaining data pipelines for CIEE, a philanthropic institution supporting youth development. Collaborating with Data Analysts for data quality and reliability.
Senior Data Engineer responsible for designing and implementing data solutions at Harambee. Collaborating with various stakeholders to enhance technology supporting work - seekers' journeys.
Senior Manager Data Engineer at Squarcle delivering technical leadership in data engineering and compliance with business objectives. Leading teams to optimize and develop data platforms for clients.
Senior Consultant Data Engineer in a consultancy firm focusing on data engineering and platform development. Collaborating with diverse teams to deliver high - quality data solutions.
Data Engineer at Mobileye building robust data pipelines for data infrastructure. Collaborating with teams to deliver high - quality data solutions for dynamic environments.
AI Systems & Data Engineer at HyperFi designing Databricks pipelines and managing AI systems. Collaborating on data engineering tasks and optimizing workflows in a flexible tech environment.
Engenheiro de Dados especializado em PowerBI e Lakehouse no Campos Thomaz Advogados. Foco em preparar dados para dashboards e estruturação de ambientes com Microsoft.
Data Platform Expert developing and maintaining data solutions for analysis and reporting at Magna Electronics. Collaborating with various teams to enhance data - driven decision making and insights.