Were you the kid who never stopped asking 'why'? The one who took things apart just to see how they worked? If you've carried that curiosity into your data career, and now you don't just ask why, you know why, we should talk.
AI has made it easier than ever to build the wrong thing faster. The value of a good consultant hasn't changed: knowing what's actually worth building, getting buy-in from people who'll use it, and making decisions that hold up when requirements shift. Tools change. That doesn't.
As a Practiv Data Engineer you will join a team of passionate Data Cloud & AI technologists who help deliver end to end technology solutions for our customers from building data pipelines, data warehousing, Machine Learning and AI and visualisation. You will work in a small team with a broad range of responsibilities and projects.
Requirements
Essential Skills
- Strong understanding of data concepts, including data modelling, data warehousing, and ETL processes, with the ability to design and implement complex data pipelines efficiently.
- Experience working with clients, this can be external as a consultant or internal working with other areas of your organisation
- Experience with data services on any or all cloud platforms (e.g. Google Cloud, Databricks or Snowflake)
- Relevant coding experience in languages such as Python and SQL or Spark with a strong ability to write clean, efficient, and scalable code for data manipulation and system integration.
Nice to Have
- Snowflake experience and qualifications is a bonus!
- Experience with data visualisation tools such as Tableau, Power BI, or similar
- Experience with DevOps practices and tools
- An understanding of what good data security practices entail
As a Consultant (Data Engineering) you’ve built a solid foundation within your data career and are looking to take that next step in your career.
If you think you are a good fit and have unique skills that make you a valuable team member we encourage applications even if you don’t tick all the boxes, please reach out with your application. We are a growing organisation with a lot of space for innovation and good ideas. Not essential but we love a 100 word summary of why you’re right for this role. Be yourself !!!
Skills Required
- Strong understanding of data concepts (data modelling, data warehousing, ETL) and ability to design and implement complex data pipelines
- Experience working with clients (external consulting or internal stakeholder engagement)
- Experience with data services on cloud platforms (e.g., Google Cloud, Databricks, Snowflake)
- Relevant coding experience in Python and SQL or Spark, with ability to write clean, efficient, scalable code
- Snowflake experience and qualifications
- Experience with data visualisation tools such as Tableau or Power BI
- Experience with DevOps practices and tools
- Understanding of good data security practices
What We Do
We did it the old way in our old jobs at major firms. But now we’re doing it differently with Practiv. We're not generalists like the other folk, we're a team of specialists who help customers solve business problems and realise new opportunities without being confined to old processes, platforms and the old ways of thinking. Practiv is a modern Data Cloud & AI consultancy based in Australia and New Zealand. We assist companies of all sizes in their transformation through Public Cloud technology to accelerate innovation, reduce technology costs, and leverage the power of data to enhance customer experiences. Our team loves getting to know your business, its processes and opportunities. We solve challenges for you by identifying ways software may drive faster adoption, more efficient processes, and wire new and existing systems together so you can continue to do what you do well.
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