Senior Data Engineer

4 days ago

Brisbane, Queensland, Australia meshynix Full time $120,000 - $180,000 per year

Position:
Senior Data Engineer

Location:
Brisbane (On-Site)

Duration:
12-month initial contract

Working Flexibility:
Hybrid

Company Description

Meshynix is a purpose-led firm of Databricks experts committed to delivering meticulously designed and highly scalable Data Lakehouse solutions. Operating out of Australia and India, Meshynix helps organizations worldwide to bring the Databricks Data Lakehouse vision to life more affordably. Meshynix holds official partnerships with Databricks, providing cutting-edge Data Services on and around Databricks. Discover how Meshynix can support your Lakehouse journey at or email us at

Role Description

This is a contract role for a Senior Data Engineer in Brisbane.

The Senior Data Engineer will be responsible for the development of our cloud-based analytics environment. As we build our data platform in Azure using Databricks, we are looking for professionals with strong skills in data engineering, cloud technologies, and data warehouse design. This role offers the opportunity to work at the forefront of data innovation for designing, implementing, and maintaining scalable, automated data solutions that drive business insight and performance. Ideal candidates will hold Databricks certifications in data engineering or analytics and have demonstrated experience with building data pipelines, automating ETL processes, and supporting enterprise data strategy.

Your Role

  • Familiarity with the design and implementation of data pipelines for automatic data integration from various sources into our data lake and data warehouse.
  • Develop automated data analytics solutions using a variety of programming languages, including SQL, R, Python, SAS, and/or similar.
  • Develop data visualisations that empower strategic decision-making and support business performance management using data visualisation tools such as Power BI and web development languages such as JavaScript, HTML, and CSS.
  • Develop testing regimes to ensure data quality, data consistency, and reliability.
  • Develop automated workflows, scripts, and tools to streamline robust extract, transform, load (ETL) processes..
  • Design, develop, and test data warehouses that aggregate data from different sources and retain historical record changes.

About You

  • Experience in working in data teams and projects with a broad applied knowledge of agile methodology.
  • Significant experience and knowledge of major statistical programming languages such as SQL, Python, R, and SAS
  • Proficiency in data analysis and data warehouse design, and implementation.
  • An understanding of the latest cloud-first and distributed data architecture.
  • Power BI and data visualisation experience

Interested? Apply now or reach out to learn more

Email us

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