At a Glance
- Tasks: Join a passionate team to build data solutions and tackle exciting projects.
- Company: Innovative data consultancy in Melbourne with a focus on AI and cloud technologies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with plenty of room for creativity and innovation.
- Why this job: Make an impact by shaping data strategies and working with cutting-edge technology.
- Qualifications: Strong data knowledge, coding skills in Python or SQL, and client collaboration experience.
The predicted salary is between 123750 - 151250 $ 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—let’s 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 visualization. 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, whether externally as a consultant or internally working with other areas of your organization
- Experience with data services on any or all cloud platforms (e.g. Google Cloud, Databricks, Snowflake)
- Relevant coding experience in languages such as Python and SQL or Spark, and 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 visualization tools such as Tableau, Power BI, or similar
- Experience with DevOps practices and tools
- An understanding of what good data security practices entail
We are a growing organization with a lot of space for innovation and good ideas.
Data Consultant – Melbourne employer: Practiv Limited
At Practiv, we pride ourselves on fostering a dynamic and collaborative work environment where curiosity and innovation thrive. As a Senior Consultant in Sydney, you'll not only engage with cutting-edge data technologies but also have ample opportunities for professional growth and mentorship within a passionate team. Our commitment to employee development, coupled with a culture that values diverse perspectives, makes us an exceptional employer for those seeking meaningful and rewarding careers in the data field.