At a Glance
- Tasks: Design and optimise data pipelines using Azure Databricks for impactful projects.
- Company: Join MediAesthetics, a growing healthcare and retail business focused on data innovation.
- Benefits: Gain hands-on experience in a dynamic environment with potential for future opportunities.
- Other info: Collaborate with diverse teams and tackle complex data challenges.
- Why this job: Make a real difference by improving data quality and supporting decision-making.
- Qualifications: 4+ years in Data Engineering, strong SQL and Python skills required.
The predicted salary is between 121500 - 148500 $ per year.
We're looking for an experienced Data Engineer to join Medi Aesthetics 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
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.
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Data Engineer in Sydney employer: SILK
At Australian Skin Clinics North Lakes, we pride ourselves on being an exceptional employer that values your growth and well-being. With a strong focus on professional development, competitive remuneration, and a supportive team culture, you’ll have the opportunity to thrive in a purpose-driven environment dedicated to transforming the MediAesthetics industry. Join us to make a meaningful impact while enjoying the benefits of innovative technology and a collaborative workplace that celebrates success.
