Cloudwerx is a modern Salesforce, Snowflake & AI consultancy founded in **** to do things differently. We design and deliver clever, scalable and human-centred data and cloud solutions that create real impact for clients across the public sector, education, health, financial services, utilities and more.
From data modernisation on Snowflake and Databricks to analytics, AI and Salesforce Data Cloud enablement, we help organisations turn data into trusted, actionable insights.
The Role
We're looking for multiple Data Engineers with strong experience in cloud-based data engineering and modern data stacks. You'll design and implement scalable, secure, and high-performing data solutions using technologies such such as Snowflake, DBT/Coalesce, Fivetran, Databricks, and Python/Java, while also building capability in Salesforce CRMA and Data Cloud
What You'll Be Working On
Extracting and profiling source data to identify missing values, duplicates, inconsistent formats and relationship issues
Developing and maintaining SQL scripts, data preparation routines and ETL/ELT processes
Designing and implementing scalable data solutions using modern cloud data platforms
Implementing approved source-to-target mappings and transformation rules
Performing data validation, reconciliation and unit testing
Investigating rejected records, migration defects and data discrepancies
Loading data into Salesforce and Snowflake using agreed engineering patterns
Supporting migration testing cycles, rehearsals, cutover and post-migration validation
Working with technologies such as Snowflake, dbt/Coalesce, Fivetran and Databricks
Developing data processing and automation solutions using Python and/or Java
Supporting and building capability across Salesforce CRM Analytics and Data Cloud
Maintaining mapping specifications, technical documentation and operational runbooks
Following version control, testing,



deployment and secure data-handling standards
Collaborating with technical and business stakeholders to identify and resolve data issues
What We're Looking For
3+ years' experience designing and implementing modern data stacks
Hands-on experience in Data Engineering, ETL/ELT development or Data Migration
Strong SQL knowledge, including joins, transformations and validation queries
Experience with Python, Java or another scripting/programming language
Experience working 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
Robust attention to detail and good technical documentation skills
Ability to collaborate effectively across technical and business teams
Ability to proactively identify, communicate and escalation data-quality or migration issues
Good to Have
Experience with Snowflake, Databricks
Experience using dbt and/or Coalesce
Experience with Fivetran or similar data integration tools
Experience with Salesforce data loading,Salesforce CRM Analytics (CRMA) and Data Cloud
Exposure to SQL Server, DB2 or other enterprise database platforms
Experience with cloud integration tools or automated data testing
Experience working with sensitive information in controlled environments
Why Join Cloudwerx?
You'll have the opportunity to work across modern data platforms, cloud technologies and Salesforce ecosystems while contributing to meaningful transformation programs across a diverse range of industries.
If you enjoy solving complex data problems, building modern data solutions and making sure data moves accurately and reliably from one system to another, we'd love to hear from you.
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📌 Data Engineer (Adelaide)
🏢 Cloudwerx
📍 Adelaide