Data Engineer — Snowflake, Databricks & AI Data Solutions

Cloudwerx; Adelaide; On-site; AUD 110,000 - 170,000; Full time

Job summary

Cloudwerx is seeking multiple Data Engineers to design, build and optimize data solutions on modern cloud data platforms. You will shape end-to-end data pipelines, ensuring secure, scalable and high-performing data processing across Snowflake, Databricks and Salesforce ecosystems.

The role emphasizes ETL/ELT development, data quality, testing and collaboration with both technical and non-technical stakeholders to translate data into actionable insights.

Qualifications

• 3+ years designing and implementing modern data stacks.
• Hands-on experience in Data Engineering, ETL/ELT development or Data Migration.
• Strong SQL knowledge with joins, transformations and validation queries.
• Experience with Python, Java or similar scripting languages.
• Experience with cloud-based data platforms and modern data engineering technologies.
• Good understanding of relational databases, keys, relationships and data-quality principles.
• Experience testing data processes and investigating reconciliation discrepancies.
• Familiarity with version control and structured software development practices.

Responsibilities

• Extracting and profiling source data to identify missing values, duplicates, and inconsistencies.
• Developing and maintaining SQL scripts, data preparation routines and ETL/ELT processes.
• Designing scalable data solutions on cloud data platforms like Snowflake and Databricks.
• Implementing source-to-target mappings and transformation rules.
• Performing data validation, reconciliation and unit testing.
• Loading data into Salesforce and Snowflake using established engineering patterns.
• Supporting migration testing, rehearsals and post-migration validation.

Skills

SQL

Python/Java

Data integration

Collaboration

Data quality

Documentation

Communication

Tools

Snowflake

dbt/Coalesce

Fivetran

Databricks

Salesforce CRMA/Data Cloud

Job description

Cloudwerx is seeking multiple Data Engineers to design, build and optimize data solutions on modern cloud data platforms. You will shape end-to-end data pipelines, ensuring secure, scalable and high-performing data processing across Snowflake, Databricks and Salesforce ecosystems.

The role emphasizes ETL/ELT development, data quality, testing and collaboration with both technical and non-technical stakeholders to translate data into actionable insights.