At Shift, we're business specialists dedicated to helping Australian SMEs take control of their cashflow, streamline trade terms and choose the right financial products.
We believe Australian businesses are the driving force behind our economy and the heart of our community.
That's why our business expertise, relationship focus, and market-leading technology is at the core of everything we do.
Our unique approach and collaborative culture means you can build your career with support.
You'll be joining a diverse team of over 250 people who are always looking to deliver better outcomes for the 25,000+ Australian businesses we've served (and counting!)
Job Description
The Cloud Data Engineer will support, manage, and design Azure-based solutions that align with Shift's technology and data requirements.
Main Responsibilities / Duties :
Develop, support, and maintain ETL pipelines (Azure Data Factory).
Design and build data solutions integrating with third-party services and vendors.
Act as a liaison between technology and internal data teams.
Support the wider Technology team in data compliance, discovery and resilience.
Support Technology with ad-hoc reporting requirements (Tableau, SQL).
Optimization and development of SQL databases, queries and data infrastructure performance.
Qualifications
Bachelor's degree in computer science or equivalent (minimum requirement).
Additional Information
Minimum of 5+ years working in a data or infrastructure team (or 1-2 years as a developer).
2+ years using cloud-native data tools like Data Factory, SQL, CosmosDB and Azure Data Lakes or on-premises equivalent.
Strong SQL knowledge and experience (SQL query, table design and admin).
Experience with Salesforce and Marketing Cloud is a plus.
Expertise in building data integrations across cloud platforms.
Development ability in C# or Python highly advantageous (Azure Functions).
Azure DataBricks experience beneficial.
Tableau development and analysis skills highly sought after.
Google Cloud Certification (in order of preference: Professional Data Engineer, Professional ML Engineer, Professional Cloud Architect).
The ideal candidate is a passionate and hands-on data engineer with a proven track record of building and maintaining robust data pipelines.
#J-18808-Ljbffr