Senior Consultant, Sydney

Practiv Limited; Sydney; On-site; AUD 110,000 - 170,000; Full time

Job summary

Practiv Limited is seeking a Senior Consultant (Data Engineering) in Sydney to design and implement end-to-end data pipelines, data warehousing, and AI/ML data solutions for clients. Join a team of data cloud and AI technologists delivering projects from ingestion to visualization.

You will work with cloud platforms like Google Cloud, Databricks, or Snowflake, and write clean, scalable Python/SQL or Spark code, while mentoring junior engineers and guiding best practices across client engagements.

Qualifications

• Strong understanding of data concepts, including data modelling, data warehousing, and ETL processes.
• Experience working with clients, external or internal within the organisation.
• Experience with data services on cloud platforms (Google Cloud, Databricks or Snowflake).
• Coding in Python and SQL or Spark with ability to write clean, scalable code for data manipulation and system integration.

Responsibilities

• Design and implement data pipelines, data warehousing, and related data solutions.
• Collaborate with clients and cross-functional teams to deliver data projects.
• Mentor and upskill junior engineers and communicate best practices.

Skills

Data concepts

Data modelling

Data warehousing

ETL pipelines

Python

SQL

Spark

Client experience

Tools

Snowflake

Tableau

Power BI

DevOps

Streaming data

Data security

Job description

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 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.