Skip to main content

Data Engineer (Snowflake)

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
InfoCentric
Melbourne, VIC
hybrid
Full Time

Apply for this job

Posted 9 months ago
This role is expired

These roles are hiring now

View all AI roles →

Information Security Consultant - Secure by Design (AI Enablement)

Westpac Group
Sydney, NSW
hybrid
  • Security consulting for AI enablement and secure by design principles
  • 3-5+ years information security experience
  • AI security, secure by design, risk assessment, governance
Posted 2d ago

Senior Data Scientist - Discovery (12-month contract)

Canva
Sydney, NSW
hybrid
  • Lead data-centric strategy for Discovery product team
  • 5+ years experience in data science
  • SQL, Python/R, experimentation, product analytics, search/recommendations
Posted 1d ago

Engineering Lead, Autonomy Software

Shield AI
Australia
  • Lead autonomy software development for unmanned systems in complex environments
  • Significant experience in robotics, autonomy, or aerospace systems
  • Modern C++, team leadership, tactical autonomy design
Posted 4d ago

Forward Deployment Scientist

Oracle
Australia
hybrid
  • Deploy AI solutions in clinical environments, embed with healthcare customers
  • 3+ years applied AI or solutions engineering experience
  • LLMs, generative AI, RAG, prompt engineering, AI-accelerated development
Posted 3d ago
InfoCentric is one of the largest Australian-owned specialist Data Consultancy, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we deliver leading solutions in Data Strategy and Advisory, Cloud Data Platforms, Artificial Intelligence, GenAI, and Business Analytics and Insights to Australia’s largest organisations.

About the role:

We are looking for a passionate data engineer with hands-on experience in Snowflake and Azure cloud platform. If you thrive in a collaborative and fast-paced environment, we would love to hear from you.
This is a full-time, permanent position based in Melbourne, offering a hybrid work setup.
About you:

To be successful in this role, you’ll need:

  • Solid background in Data Engineering, with experience in building and maintaining ETL processes and data warehousing solutions
  • Proven experience in Snowflake data warehouse design and development
  • Hands-on experience with Azure cloud services
  • Experience with DBT (Data Build Tool) for data modeling and transformation
  • Proficient in Python and SQL
  • Excellent communication and stakeholder engagement skills
  • Prior experience in a consulting or client-facing environment is highly regarded


About us:

At InfoCentric, our employees are the heart of our business. We have had many employees start their careers with us and grow into positions of responsibility. We are at the forefront of Data Platforms, Analytics and AI driving innovation and delivering smart solutions for our clients.

Our core values reflect what's important to us:

Realise Opportunity

  • We’ll cover the cost of your training and certifications in the latest tools and technologies, including AWS, Azure, Snowflake, and AI
  • You'll work with industry leaders and gain experience in complex Data Platforms and AI projects from the start.
  • You'll gain mentorship and collaboration from industry leaders


Thrive Together & Embrace Diversity

  • Receive genuine recognition for work and valued behaviour.
  • Regular social events to connect. Previous events include private cinema screenings, bubble soccer, minigolf, bowling, and social drinks.
  • Be part of embracing and celebrating team diversity
  • Work alongside and collaborate with experienced technical professionals in Data Platforms, AI and GenAI


Think Big Picture

  • Work flexibly to balance family, life, and career
  • Create impact and positive change for the team and business
  • Drive process improvement


To find out more, check out our LinkedIn Life Page or www.infocentric.com.au.

Applications

Due to the high volume of applications, we receive, you will be contacted if you are successful. We thank you for your interest in InfoCentric and working with us. If you're unsuccessful for this role we will keep your details and reach out to you with any suitable roles in the future.