Main characteristics
- Location
- Perth, Western Australia
- Company
- Michael Page
- Salary
- AU$100,000 - AU$130,000 per year
- Employment type
- Permanent
- Category
- Information Technology
- Industry
- Business Services
Job summary
About Our ClientOur client is an Australian data and technology consulting firm, backed by one of the largest and most respected consultancies in the world.
You'll work as part of a small, high-achieving team, whilst enjoying the corporate infrastructure and access to training and certifications often only afforded by a large, multinational business.
You'll collaborate on complex data problems in a uniquely tech-agnostic environment, amongst a peer group who are intent on remaining at the cutting edge of cloud and big-data solutions.
Job Description
Reporting to Principal Consultant you will be responsible for:
- Advising on:
- data architecture,
- data models,
- data migration, integration, and pipelines and
- data analysis and visualisation.
- Implementing solutions for the establishment of data management capabilities including:
- data models and structures,
- database and data storage infrastructure,
- master and metadata management,
- data quality,
- data integration,
- data warehousing,
- data transformation,
- data analysis and
- data governance
- Development and execution of data migrations
- Development of end-to-end data pipelines
- ETL / ELT processes
- Data Analysis, creation of reports, dashboards and visualisations as required
The Successful Applicant
To be considered for and successful in this role you will:
- Be able to demonstrate the calibre of your skills across the full data-engineering lifecycle, not only via examples from your career to date, but via a technical test during the interview process
- Be someone who actively pursues professional learning and development in their own time (via online courses, formal certifications, hackathons, online hubs, professional / community groups or meetups etc.)
- Have a naturally curious streak with a penchant for creative problem-solving (and demonstrated examples from your career to share)
- Offer practical experience in cloud solutions such as GCP, AWS, Azure and Snowflake, extending to Google BigQuery, Azure Synapse Analytics, AWS Redshift etc.
- Have a keen interest in Big Data and Big Data Technologies such as Beam, Spark, Kafka, Hive etc.
What's on Offer
In return you will:
- Work in an environment that encourages your curiosity, your independent problem-solving skills, your creativity and your desire to develop your skills whilst being exposed to modern data technologies (in a tech-agnostic organisation)
- Have opportunity to pick up formal training and certifications across an array of technologies and within specific skills silos, via a best-in-class internal L&D platform
- Be surrounded by like-minded professionals with a passion for data, innate drive for self-improvement, a love of working with cool tech and a desire to work at the forefront data engineering
- Access generous paid parental leave, income protection and life insurance policies and a free Employee Assistance Program (EAP)
- Work in a diverse team culture where respect for differences and a growth mindset are valued
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