Data Engineer
Australia
Nous Group
We are looking for a Data Engineer with 3-5 years of experience to join our dynamic team in Sydney, Melbourne, Canberra, Brisbane, or Darwin. This role will see you working on cutting-edge data-driven projects, using advanced technologies to build and maintain robust data solutions on the Azure Cloud platform.
About NousCubane
NousCubane is a world-leading provider of data-led solutions, specialising in the higher education sector. We are a medium sized business over 50 people across offices in Sydney, Melbourne, Brisbane, Perth, London, and Toronto. We work with some of the most prestigious universities in the world as members of our collaborative benchmarking and insights programme, UniForum. We are developing new analytics products using a combination of public and private datasets to expand our portfolio of data solutions and deliver powerful strategic analytics to our customers.
NousCubane is part of Nous Group, an international management consultancy with more than 700 people working in Australia, New Zealand, the UK, Ireland, and Canada. Nous is regularly acknowledged as a great place to work as part of competitive workplace reviews. In 2023 Nous was again named one of Australia’s Best Workplaces by Great Place to Work and was recognised as one of LinkedIn’s best places to grow a career, as a LinkedIn Top Company (Australia), and have previously been named Best Management Consulting Firm by the Australian Financial Review.
As Data Engineer, you will:
- Develop and support: Build and maintain a data lake of source data, including extracting data from a wide variety of non-standard sources and updating data at irregular schedules.
- Automation: Automate data extractions, loads and transformations to update data and documentation efficiently.
- Data integration: Design, implement, and optimise data warehouses, ensuring data is transformed into a user-friendly format. This includes advanced SQL querying and warehouse design.
- Technical expertise: Provide expert support in areas including business intelligence, reporting, and data analysis, leveraging technologies such as Metabase, Qlik Sense, PowerBI, and R.
- AI and workflows: Utilise AI to improve workflows and automate repetitive tasks, enhancing overall efficiency.
- Documentation: Develop, publish, and maintain detailed architectural and procedural documentation for core data capabilities and functions.
- Version control: Implement version control using Git to ensure a robust and traceable development process.
- Collaborative efforts: Work closely with cross-functional teams to gather requirements and ensure data solutions meet business and client expectations.
A bit about you:
- Experience: 3-5 years of experience in data engineering, particularly with the Azure Cloud platform including Azure Data Factory, Microsoft Fabric and data build tool (DBT) for transformation
- Technical skills: Proficiency in building and maintaining data lakes, advanced SQL query development, data warehouse design, and automation of data transformations.
- Analytical skills: Strong analytical and problem-solving skills, with a proven ability to diagnose and identify root causes of complex data issues.
- Communication: Excellent oral and written communication skills, able to document processes clearly and interact effectively with various stakeholders.
- Agile development: Experience working with Agile development principles.
- Proactivity: A proactive approach to learning new technologies and improving existing processes.
- R Skills: Experience using R for existing ETL pipelines
- Version control: Experience and commitment to using Git for version control.
- AI integration: Knowledge of using AI to enhance workflows is highly regarded.
Some benefits of working with us
- Belong to a small, supportive team that cares about your professional development. We offer active career and professional development support, funding professional development activities and reimbursing one professional membership per year.
- Opportunities to grow with us as we expand into new products and sectors
- Flexible working arrangements, including WFH options. Hybrid working is supported while acknowledging that the fastest learning happens when working face to face. Staff receive a once off payment to set up your WFH office.
- A collaborative bonus that reflects company performance is available to all permanent employees.
- All staff have great flexibility around public holidays. We understand that people of different cultures, religions, and political beliefs may wish to choose to take alternative days of leave from scheduled holidays.
- Supporting working parents by providing 18 weeks of paid primary carer parental leave and 10 weeks of paid secondary carer parental leave (access to parental leave is gender neutral).
Finally, some important details...
NousCubane is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all. We encourage applications from people of all backgrounds, including Aboriginal, Torres Strait Islander, and First Nations people.
If you are interested in working on complex problems and want to be part of a dynamic team that puts people at the centre of everything, then we'd love to hear from you! Please click apply below.
We would love to know why you are interested in an opportunity at NousCubane, and would love to read this in your application.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Business Intelligence Consulting Consulting firm Data analysis Data warehouse dbt Engineering ETL Git Metabase Pipelines Power BI Qlik R SQL
Perks/benefits: Career development Flex hours Parental leave Team events
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