About Us
Australian Ethical is one of Australia’s fastest-growing super fund and ethical investment managers. We are ASX-listed with almost $14 billion in funds under management and offer a selection of award-winning managed funds and superannuation products.
Our purpose is to invest for a better world, and we have been pioneers in this space for almost 40 years. For us, investing has two aims – generating solid financial returns and a positive impact for people, planet, and animals. At Australian Ethical, we prove that money can be a force for good. We do this by staying true to our purpose, which is embedded throughout our organisation and drives our everyday activities as a business, investor, brand, employer, and corporate citizen. We’re a registered B Corp and fully committed to an inclusive, equitable and forward-thinking workplace culture.
We are looking for a Senior Data Engineer to take a strategic role in designing, building, and maintaining scalable cloud-based data platforms that drive advanced analytics and business intelligence.
Your expertise will be instrumental in shaping our cloud-based data architecture and driving innovation across our data ecosystem, while ensuring data integrity, security, and accessibility.
You will be required to:
- Lead the strategic design, expansion, and optimization of a secure, scalable, and high-performing data platform
- Implement cloud security best practices within Azure, ensuring data protection through access controls, encryption, and compliance
- Develop, maintain, and optimize ETL/ELT pipelines using Python, SQL, and dbt for efficient data processing
- Collaborate with cross-functional teams to understand requirements and deliver scalable data solutions
- Build and manage CI/CD pipelines to automate deployment, testing, and monitoring of data workflows
- Ensure data quality through validation, monitoring, and performance checks across pipelines
- Document data architectures, workflows, security protocols, and operational procedures thoroughly
- Design and implement RESTful APIs for seamless integration between internal and external systems
We are looking for someone with:
- Proven expertise in designing and maintaining scalable ETL/ELT pipelines using Python, SQL, and dbt
- Strong understanding of cloud infrastructure and security principles, particularly within Azure
- Hands-on experience with CI/CD pipeline development and automation for data workflows
- Ability to implement robust data validation, monitoring, and quality assurance processes to ensure reliable and performant data delivery
- Effective cross-functional collaboration with analysts, product managers, and business stakeholders to translate data needs into scalable solutions
- Strong analytical and problem-solving skills, with attention to detail and a proactive mindset
Experience & qualifications required:
- 7+ years of professional experience, including hands-on work in data engineering and full-stack software development with a strong focus on data-intensive systems
- Expert-level proficiency in Python and SQL, with demonstrated experience building robust, scalable data pipelines and performing complex data transformations
- Proven track record of designing and maintaining scalable data platforms and pipelines
- Hands-on experience with CI/CD pipeline development and automation in cloud environments
- Experience working with modern data stack tools including Snowflake, dbt, and Azure
- Relevant tertiary qualifications in Computer Science, Engineering, or a related field
Why Australian Ethical?
- We offer a competitive salary, including short-term and long-term incentives including access to an Employee Share Plan
- Hybrid work arrangements
- Wellbeing program that includes an extra 5 days of leave above statutory requirement
- Purpose aligned volunteer days
- 20 days paid annual leave with an additional 3 paid days of annual leave over the Christmas period