Help accelerate our data transformation journey
We're looking for an experienced Data Engineer to join MediAesthetics on a 3-month contract and help strengthen the foundations of our cloud data platform.
Working within our Technology team, you'll play a hands-on role designing, building and optimising data pipelines across Azure Databricks and our wider data ecosystem. This role is ideal for someone who enjoys solving complex data challenges, improving data quality and delivering scalable solutions that support business intelligence, analytics and decision-making.
You'll partner closely with Technology, Analytics and business stakeholders to ensure reliable, high-quality data is available across the organisation.
What you'll be doing
Design, develop and maintain scalable ETL/ELT pipelines using Azure Databricks
Build and support data ingestion processes from internal and external source systems
Develop API integrations and automated data pipelines
Write and optimise SQL queries for extraction, transformation and validation
Build automation and data processing solutions using Python
Investigate and resolve data quality, integrity and performance issues
Monitor and troubleshoot production data pipelines
Collaborate with business and technology stakeholders to deliver data solutions that support reporting and analytics
Document data architecture, transformations and data flows
What you'll bring
4+ years' experience in a Data Engineering or similar role
Strong hands-on SQL experience, including query optimisation and complex transformations
Practical experience using Python for automation, scripting and data processing
Experience working with Azure, Databricks and cloud-based data platforms
Knowledge of data warehousing, ETL/ELT processes and API integrations
Experience with Git, source control and CI/CD practices
Strong analytical and problem-solving capability
Excellent communication skills and ability to work with technical and non-technical stakeholders
Why join us?
This is an opportunity to contribute to meaningful data and technology initiatives in a growing healthcare and retail business. You'll work on projects that improve how we leverage data, support decision-making and deliver better business outcomes.
If you're available to commence within the next few weeks and enjoy delivering results in a fast-paced environment, we'd love to hear from you.
Skills Required
- 4+ years of experience in Data Engineering or a similar role
- Strong hands-on SQL experience, including query optimization and complex transformations
- Practical experience using Python for automation, scripting, and data processing
- Experience working with Azure, Databricks, and cloud-based data platforms
- Knowledge of data warehousing, ETL/ELT processes, and API integrations
- Experience with Git, source control, and CI/CD practices
- Strong analytical and problem-solving capability
- Excellent communication skills and ability to work with technical and non-technical stakeholders
- Availability to commence within the next few weeks
What We Do
SILK Laser Clinics is an Australian medi-aesthetic clinic network founded in South Australia in 2009. It operates more than 160 clinics across Australia and New Zealand, offering laser, skin, cosmetic-aesthetic, and body treatments, plus its own Australian-made skincare range. The company focuses on combining advanced technology, education, and gold-standard service to deliver lasting results for clients across its growing network.
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