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Open nowPosted 2 days ago

Data Engineer (3 Month Contract)

SILK Laser Clinics60 open roles

Where
Sydney NSW, Australia
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Your applicationOpen nowData Engineer (3 Month Contract)SILK Laser Clinics · Sydney NSW, Australia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SILK Laser Clinics's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. SILK Laser Clinics postings stay open a median of 20 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 2 days ago

SILK Laser Clinics median: 20 days open

The posting

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.

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