Austral, NSW, Australia

Data Engineer - Australia

 Job Description:

Who We Need?

Decision Inc. Australia is looking for a Data Engineer who is passionate about AI, data, implementing technology solutions, and leading project teams to achieve business outcomes.

What do we look for in our people?

At Decision Inc., we look for people who want to fulfil their passion for changing the world with technology and data. No two days are the same. You will be challenged and pushed whilst being nurtured and supported to become a master of your craft. You will participate in interesting internal and client projects across different industries and functions, with the opportunity to think outside the box and develop the technology, analytical and soft skills to be recognised as a top performer in your field.

We are client obsessed, and constantly challenging each other on ways to deliver better outcomes with data. We never lose sight of the bigger picture and have fun along the way.

We like to bring people onboard who reflect our values of being personally invested in the success of our clients, and each other and bringing passion, integrity, collaboration, community, and vision to the way they work. If you are a great listener, a team player, a trusted confidant to your friends, smart and savvy, driven and competitive, love to learn, a connector of people and someone who is searching for purpose in how you can explore making a difference through your work, then the Decision Inc. Australia is your kind of team.

What does Decision Inc. do?

Decision Inc. is a global technology consulting organisation with offices in South Africa, the United Kingdom and Australia. We are a leader in information-driven transformation with a core focus on data, digital and performance intelligence.

Through Decision Inc. Australias technology and industry specialisations we have helped our Australian clients to make better decisions faster by creating value from our clients data and information. We bring our clients technology solutions that enable significant business progress whilst leveraging the research, expertise, and innovations of our global teams.

We represent leading global technology brands and are experts in the implementation, support and advisory services focused on realising client value through digital transformation.

What Will You Bring?

  • You are brilliant at taking abstract technical requirements and ideas, and synthesizing them down to simple concepts,
  • You love being in front of clients and will brainstorm their business problems seeking solutions from within the Decision Inc portfolio and industry.

What Will You Do?

  • Identify and develop cutting edge and innovative technology solutions to enable better decision making for our customers.
  • Work with the team to deliver great data and analytics solutions for clients.
  • Support the High-Level requirements gathering and work with the Engagement Lead to convert these into Low Level designs and work packages.

Who Do You Need to Be?

  • Relevant Technical experience and expertise.
  • Strategic service road map development experience.
  • The ability to work as a leader within a team.
  • Deep technical skills across Data and Analytics platforms and products.
  • Consulting experience; enjoying the cadence of client engagements and a willingness to be cross-skilled into multiple client solutions.
  • Strong problem-solving skills and good communication skills, both written and verbal.
  • The ability to convey business requirements to technical people.
  • Eagerness and willingness to learn a positive attitude is everything!
  • Self-motivated, driven, and ambitious.

Preferred Technical Skills

  • Relevant Degree e.g. Computer Science, Technology, Business, Information Systems.
  • Microsoft (preferred) or Qlik Certified (advantageous).
  • Experienced in either Microsoft BI stack/ Qlik / Oracle / SAP or general ETL/BI.
  • Data model designing (Back End).
  • Experience in implementing BI tools for requirements and utilizing various sources.
  • A good understanding of data warehousing, analytical methodologies and solution delivery.