Data Engineer (3 Month Contract)

Silk Laser; Sydney; On-site; AUD 90,000 - 120,000; Full time

Job summary

MediAesthetics is seeking an experienced Data Engineer on a 3-month contract to strengthen the cloud data platform.

You'll design, build and optimise data pipelines across Azure Databricks and related data ecosystem, delivering scalable solutions for BI, analytics and decision-making. Collaborate with Technology, Analytics and business stakeholders to ensure high-quality, reliable data.

Qualifications

• 4+ years of experience in Data Engineering or similar role.
• Strong SQL with optimisation and complex transformations.
• Python for automation and data processing.
• Experience with Azure, Databricks and cloud data platforms.
• Knowledge of ETL/ELT, data warehousing, and API integrations.
• Experience with Git, source control and CI/CD practices.

Responsibilities

• 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.

Skills

SQL

Python

Azure Databricks

Data warehousing

ETL/ELT

API Integrations

Git

CI/CD

Data quality

Tools

Azure

Databricks

Git

Job description

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

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.