Data Engineer (MS Azure and Fabric)

• Work on cutting-edge Microsoft data technologies including Microsoft Fabric and AI Foundry  

• Opportunity to contribute to meaningful, data-driven transformation projects.  

• Supportive environment with access to ongoing learning and development. 

• Flexible work from home options – 3 days in office 

 

About us 

 

As a market leader in Business Process Optimisation and IT services for over 20 years, Canon Business Services ANZ helps organisations optimise, automate and transform their operations, setting them up for greater growth. We work collaboratively with customers to get the results they want, delivering bespoke solutions designed to meet and exceed their business needs, overcoming challenges, and freeing them up to focus on what sets them apart. 

We are trusted by industry leaders because of our dedicated customer focus, and agile approaches to solving our clients’ key challenges. With a commitment to delivering the best service management experience possible, many clients have partnered with us for more than a decade. The solutions we deliver are reliable, scalable, and cost-effective, helping customers to not just get ahead but stay ahead. 

 

About the Role 

 

CBS is a highly qualified team with a proven track record, holding all six Microsoft Solutions Partner designations, including Data & AI, and recognised as a Microsoft Fabric Preferred Partner. We are proud to be one of only 42 partners out of over 1,700 across Australia and New Zealand to achieve all 6 designations. The Solutions department offers transformational IT capabilities to customers, specialising in Modern Infrastructure, Data and AI, Modern App and Information Security. Data and AI business unit focuses on delivering data modernisation and AI solutions to customers. 

 

This role is ideal for someone who is passionate about delivering real business value through modern data solutions. You will be working directly with customers across various industries to design, build, and deploy scalable data platforms using the Microsoft Azure Data Platform, with a strong emphasis on Microsoft Fabric. This is a hands-on, customer-facing role that blends technical expertise with consulting capability. This position also offers valuable exposure to engineering AI powered solutions, providing opportunities to work at the intersection of data and artificial intelligence. The role will be based from our Macquarie Park office in Sydney and report in to the Practice Head – Data & AI. 

 

Scope of Role 

 

• Engage directly with customers to understand their data challenges, requirements, and goals  

• Design and implement scalable and secure data solutions using Microsoft Fabric or other Azure data services  

• Develop robust and scalable data pipelines to support analytics, reporting, and AI workloads  

• Transform and integrate structured and unstructured data across various sources (on-premises, cloud, APIs)  

• Optimise data workflows for performance and cost efficiency using best practices in Microsoft Fabric or Azure Data Services  

• Provide technical guidance, documentation, and training to customers as part of project delivery 

 

About You 

 

We are looking for a talented and client-focused Data Engineer to join our Data & AI consulting team. They would possess strong analytical skills and be a natural at engaging with clients. They would be adaptable to working in different customer environments. Prior experience working with Power BI integrated with Fabric workspaces, AI Foundry/Azure AI studio would be highly preferred. Key Skills and Experience include - 

 

• Strong hands-on experience with Azure Data Services, including Microsoft Fabric (OneLake, Lakehouse, Dataflows Gen2, Pipelines), Azure Data Factory, Azure Synapse Analytics, Azure SQL / SQL Server  

• Proficient in SQL  

• Experience with Python, PySpark, or other scripting languages for data transformation.  

• Strong understanding of modern data architecture concepts: lakehouse, medallion architecture, and ELT/ETL patterns.  

• Familiarity with data governance, data quality, and metadata management frameworks. 

 

When you join Canon Business Services ANZ, you’ll find a rewarding culture that values you. You’ll be empowered to focus on your career progression and turn your goals into reality as an integral part of the group’s success. 

If this sounds like you, apply today! 

 

We believe in the power of an inclusive and diverse workforce. We trust you will bring your authentic self to work and we will focus on making sure that together, we make a strong contribution to the broader community in which we operate. Where possible, flexible working arrangements are the norm, as we know a better work-life balance can improve your motivation, performance, and productivity. 

 

Benefits include but not limited to 

 

• Free onsite parking at Canon’s offices (site dependent) 

• Bonus Leave including: Birthday leave, Canon Day, Kyosei Day  

• Flexible working arrangements, where possible 

• Training and development opportunities to help you bring your goals to life 

• Wellbeing benefits, including everything from discounted health insurance to flu vaccines to confidential counselling 

• Performance Recognition, in the form of quarterly and annual awards programs for high-performers 

• Milestone recognition on your work anniversaries in the form of carbon credits, merchandise, or retirement fund rewards 

• Canon products offered at discounted rates 

• Education assistance to support the cost of any external training that gives you new skills for your job 

 

As an equal opportunity employer focused on strengthening our inclusive culture, all applicants will be considered and we welcome applications from people of all ages, cultures including Aboriginal and Torres Strait Islander peoples, abilities, religious beliefs, national origin, sexual orientation and gender identities. Benefits/perks may vary depending on the nature of your employment with Canon Group and the country where you work. All applicants must be eligible to work in the country they are applying to at the time of application. 

 

Looking to join this diverse team? Apply online now. Successful applicants will be notified of next steps 

 

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