data commercialisation engineer in Melbourne CBD

thembisile baleni, randstad
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melbourne cbd, victoria
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thembisile baleni, randstad
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job description

Randstad Technologies is currently working with a growing big data business that is looking to hire a Data Commercialisation Engineer to join their well established and growing team.

The Data Commercialisation Engineer will work collaboratively with the wider team to integrate multiple data sources into the production pipeline and into the overall data product lifecycle (from data science to production).

The overall purpose of this role will involve automating and streamlining the company's operational activities and processes, ensuring timely delivery of data to quality. This role would assist in helping the company to come up with a plan to take historical data and monetise it. We are looking to speak to candidates with a creative mindset.


  • Manage and control the integration and linkage of datasets through the Data and Content processing and delivery pipeline. Datasets include the following: IoT, geospatial, temporal/time-series, demographic, GPS, operational etc.
  • Ensure that all systems and components are effectively linked to ensure continuous data flows.
  • Setup and maintain data processing Test, Stage and QA environments for integrating a variety of data sources, formats and types into the product.
  • Work closely with the Data Science team to ensure operational alignment and gather feedback on the dataflow performance
  • Ensure systems are in place to effectively track and alert when unexpected changes in data or systems availability occurs.
  • Deployment of statistical metrics to track the ongoing performance of machine learning models on production (i.e. DataOps). Ensuring a proper feedback loop is present for ongoing model performance monitoring (including statistical metrics)

Desired experience:

  • Intermediate Python coding experience.
  • Intermediate SQL experience.
  • Intermediate experience with other (non-relational) database and data warehousing technologies (e.g. Cassandra, S3, Elasticsearch etc).
  • Experience with deploying machine learning algorithms (supplied by data scientists) in a production setting.
  • Experience implementing data services internally and in the cloud.
  • Exposure to Hadoop or other parallel processing frameworks (e.g. Spark) desirable.
  • Systems automation and orchestration experience is an advantage

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.


Data engineering, Data science, Data scientist, AWS, Python, Machine Learning, SQL


Bachelor’s degree in Programming/Systems, Computer Science or other related field (e.g. quantitative fields or engineering), or equivalent work experience

educational requirements

Bachelor Degree