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 (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
- Experience with streaming data solutions
- An understanding of what good data security practices entail
As a Senior Consultant (Data Engineering) you can already design and implement data pipelines, communicate with clients and take on responsibility for deliveries. You can help more junior engineers upskill and explain why something is good or bad practice.
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.
Want to stand out in the application, we love a 100 word summary of why you’re right for this role. This isn’t about summarising your CV, show us who you are, be yourself !!!
Skills Required
- Strong understanding of data concepts including data modelling, data warehousing, and ETL processes
- Experience working with clients (external consulting or internal stakeholder engagement)
- Experience with data services on cloud platforms (Google Cloud, Databricks or Snowflake)
- Relevant coding experience in Python, SQL or Spark with ability to write clean, efficient, scalable code
- Ability to mentor junior engineers and take responsibility for deliveries
- Snowflake experience and qualifications
- Experience with data visualisation tools such as Tableau or Power BI
- Experience with DevOps practices and tools
- Experience with streaming data solutions
- 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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