At a Glance
- Tasks: Design and build scalable data solutions using Snowflake and modern engineering tools.
- Company: Join a leading consultancy with a focus on Data & AI transformation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with high-performing teams and enjoy hands-on engineering work.
- Why this job: Make an impact by working on cutting-edge cloud data platforms in a dynamic environment.
- Qualifications: 5+ years in Data Engineering, strong SQL skills, and experience with Snowflake.
The predicted salary is between 63000 - 77000 $ per year.
We're partnering with a leading consultancy to recruit an experienced Snowflake Engineer to join a growing Data & AI practice delivering large-scale, client-facing transformation programs across enterprise environments. This is an opportunity to work with modern cloud and data technologies, helping clients build scalable, AI-ready data platforms while collaborating with high-performing engineering and architecture teams.
The Opportunity
As a Snowflake Engineer, you will be responsible for designing, developing and optimising cloud-based data solutions using Snowflake and modern data engineering tools. You'll work closely with clients, architects and delivery teams to build scalable data products, develop robust pipelines and support enterprise data transformation initiatives. This role would suit someone who enjoys hands-on engineering work in a fast-paced consulting environment and is passionate about modern cloud data platforms.
Key Responsibilities
- Design and build scalable data products and solutions on Snowflake
- Develop and maintain ETL/ELT pipelines and workflows
- Perform data modelling, mapping and transformation activities
- Integrate Snowflake with cloud platforms including Azure, AWS or GCP
- Work with modern data engineering tools such as dbt
- Optimise Snowflake performance, storage and query efficiency
- Collaborate with stakeholders, architects and engineering teams on solution delivery
- Support best practices across data engineering, security and platform optimisation
Key Skills & Experience
- Strong SQL skills with the ability to write complex queries for data extraction, transformation and analysis
- Proficiency in at least one programming language such as Python, Java or Scala
- Hands-on experience setting up and managing Snowflake environments
- Strong understanding of Snowflake security and RBAC, performance tuning and optimisation, data warehousing best practices
- Experience working with at least one major cloud platform: Azure, AWS, GCP
- Minimum 5+ years' experience in Data Engineering and Data Warehousing
- Strong experience with ETL/ELT processes and related tooling
- Strong communication skills and ability to work in client-facing environments
If you're passionate about cloud data engineering and enjoy building modern, scalable data solutions, we'd love to hear from you.
Snowflake Engineer in Sydney employer: Hawksworth Consulting
Join a leading financial services organisation in the superannuation sector that prioritises employee development and growth. With a strong focus on learning and development, this role offers a collaborative work culture where you can make a meaningful impact by enhancing risk maturity across the organisation. Enjoy a supportive environment that values innovation and provides opportunities for professional advancement while working alongside experienced leaders and stakeholders.
