At a Glance
- Tasks: Design and implement data pipelines while collaborating with clients on innovative solutions.
- Company: Join a passionate team at a leading tech consultancy in Sydney.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with mentorship opportunities for junior engineers.
- Why this job: Make a real impact by shaping data solutions that drive business success.
- Qualifications: Strong data concepts knowledge and coding skills in Python, SQL, or Spark.
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
- 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 Dev Ops 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.
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Senior Consultant – Sydney 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.
