At a Glance
- Tasks: Join a passionate team to build data pipelines and AI solutions.
- Company: Innovative tech company focused on cloud data and AI solutions.
- Benefits: Flexible work environment, competitive salary, and opportunities for growth.
- Other info: We value unique skills and encourage diverse applicants to apply.
- Why this job: Make an impact with your curiosity and skills in a dynamic field.
- Qualifications: Strong understanding of data concepts and coding experience in Python or SQL.
The predicted salary is between 90000 - 110000 $ per year.
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 Dev Ops 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 !!!
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Cloud Data Engineer for AI & Data Solutions in Melbourne employer: Practiv
At Practiv, we foster a vibrant work culture that thrives on curiosity and innovation, making it an excellent employer for Data Consultants in Melbourne. Our team is passionate about technology and dedicated to delivering impactful solutions, offering ample opportunities for professional growth and collaboration on diverse projects. With a focus on employee development and a supportive environment, we empower our staff to explore new ideas and advance their careers while contributing to meaningful outcomes for our clients.
