Ingrity8 jobs

Data Engineer | Snowflake Implementation

Mid levelFull-timeHybridSydney NSW, AustraliaDataInformation technologySoftware engineeringPosted 2 days ago
View your fit0 of 9 criteria met

About the job

The Data Engineer job focuses on leading a Snowflake implementation from the ground up in Sydney. This hands-on opportunity allows for shaping architecture, building robust pipelines, and establishing best practices in a modern data environment. The team values collaboration with stakeholders and aims for high-impact outcomes in a flexible work setting.

You'll be responsible for

🚀

Leading the Snowflake implementation

Lead the end-to-end Snowflake implementation, from initial design through to production rollout.
🏗️

Designing scalable architectures

Design and build scalable data warehouse/lakehouse architectures on Snowflake.
🔧

Developing and optimizing pipelines

Develop and optimise ETL/ELT pipelines using tools such as dbt, Airflow, Fivetran, Matillion, or similar.

Skills you'll need

❄️

Snowflake implementation

Strong hands-on experience delivering Snowflake implementations (greenfield or major migrations).
🐍

SQL and Python proficiency

Deep experience with SQL and strong proficiency in Python.
📊

Data modeling for analytics

Experience designing data models for analytics and reporting use cases.
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Meet the team

About the company

View your fit

0 of 5 criteria met
Snowflake implementation experience
Proven experience delivering Snowflake implementations or migrations.

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Data engineering background
Solid background as a Data Engineer with 4+ years of experience.

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SQL and Python proficiency
Deep experience with SQL and strong skills in Python.

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Data modeling expertise
Experience designing data models for analytics and reporting.

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Cloud environment familiarity
Experience working in AWS, Azure, or GCP cloud environments.

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