data engineer in Melbourne CBD

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job details

posted
location
melbourne cbd, victoria
specialism
IT & ICT
job type
contract
reference number
90M0349894_1531868395
contact
santosh chacko, randstad
phone
03 8319 1271
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job description

Our client is a well reputed Melbourne Brand name. With a change in direction, they are current seeking the services of an experienced Data Engineer to help them make waves in their Marketing Division.

Role:

Key Responsibilities and skills required for the role include:

  • Strong experience in Data Science and Engineering
  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, designing infrastructure for greater scalability.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Experience building and optimising ‘big data’ data pipelines, architectures and data sets.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Strong experience with Python and SAS
  • Passion for Data, ability to provide insights from large complex unstructured data sets
  • Strong numerical & analytical background
  • Strong communication and presentation skills
  • Build analytics tools that utilise the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.
  • Relevant Bachelor Degree in a related subject; Computer Science, Mathematics, Statistics, Engineering or similar

If you think you have what it takes for this role, then please send through a cover-letter justifying yours suitability for the role in "Word" with regards to the above-mentioned points and click on the ‘apply-now’ tab.

90M0349894

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.

skills

Data Engineer, Python, SAS, R

qualification

Computer Science, Mathematics, Statistics, Engineering

educational requirements

Bachelor Degree