Job Description
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.
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From data modernisation on Snowflake and Databricks to analytics, AI and Salesforce Data Cloud enablement, we help organisations turn data into trusted, actionable insights.
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The Role
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We're looking for multiple Data Engineers with solid 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
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What You'll Be Working On
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Extracting and profiling source data to identify missing values, duplicates, inconsistent formats and relationship issues
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Developing and maintaining SQL scripts, data preparation routines and ETL/ELT processes
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Designing and implementing scalable data solutions using modern cloud data platforms
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Implementing approved source-to-target mappings and transformation rules
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Performing data validation, reconciliation and unit testing
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Investigating rejected records, migration defects and data discrepancies
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Loading data into Salesforce and Snowflake using agreed engineering patterns
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Supporting migration testing cycles, rehearsals, cutover and post-migration validation
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Working with technologies such as Snowflake, dbt/Coalesce, Fivetran and Databricks
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Developing data processing and automation solutions using Python and/or Java
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Supporting and building capability across Salesforce CRM Analytics and Data Cloud
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Maintaining mapping specifications, technical documentation and operational runbooks
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Following version control, testing,



deployment and secure data-handling standards
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Collaborating with technical and business stakeholders to identify and resolve data issues
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What We're Looking For
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3+ years' experience designing and implementing modern data stacks
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Hands-on experience in Data Engineering, ETL/ELT development or Data Migration
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Strong SQL knowledge, including joins, transformations and validation queries
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Experience with Python, Java or another
scripting/programming
language
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Experience working with cloud-based data platforms and modern data engineering technologies
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Good understanding of relational databases, keys, relationships and data-quality principles
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Experience testing data processes and investigating reconciliation discrepancies
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Familiarity with version control and structured software development practices
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Strong attention to detail and good technical documentation skills
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Ability to collaborate effectively across technical and business teams
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Ability to proactively identify, communicate and escalation data-quality or migration issues
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Good to Have
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Experience with Snowflake, Databricks
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Experience using dbt and/or Coalesce
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Experience with Fivetran or similar data integration tools
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Experience with Salesforce data loading,Salesforce CRM Analytics (CRMA) and Data Cloud
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Exposure to SQL Server, DB2 or other enterprise database platforms
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Experience with cloud integration tools or automated data testing
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Experience working with sensitive information in controlled environments
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Why Join Cloudwerx?
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You'll have the chance to work across modern data platforms, cloud technologies and Salesforce ecosystems while contributing to meaningful transformation programs across a diverse range of industries.
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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.

📌 Data Engineer (South Australia)
🏢 Cloudwerx
📍 South Australia