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 RoleWe'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 CloudWhat You'll Be Working OnExtracting and profiling source data to identify missing values, duplicates, inconsistent formats and relationship issuesDeveloping and maintaining SQL scripts, data preparation routines and ETL/ELT processesDesigning and implementing scalable data solutions using modern cloud data platformsImplementing approved source-to-target mappings and transformation rulesPerforming data validation, reconciliation and unit testingInvestigating rejected records, migration defects and data discrepanciesLoading data into Salesforce and Snowflake using agreed engineering patternsSupporting migration testing cycles, rehearsals, cutover and post-migration validationWorking with technologies such as Snowflake, dbt/Coalesce, Fivetran and DatabricksDeveloping data processing and automation solutions using Python and/or JavaSupporting and building capability across Salesforce CRM Analytics and Data CloudMaintaining mapping specifications, technical documentation and operational runbooksFollowing version control, testing,



deployment and secure data-handling standardsCollaborating with technical and business stakeholders to identify and resolve data issuesWhat We're Looking For3+ years' experience designing and implementing modern data stacksHands-on experience in Data Engineering, ETL/ELT development or Data MigrationStrong SQL knowledge, including joins, transformations and validation queriesExperience with Python, Java or another scripting/programming languageExperience working with cloud-based data platforms and modern data engineering technologiesGood understanding of relational databases, keys, relationships and data-quality principlesExperience testing data processes and investigating reconciliation discrepanciesFamiliarity with version control and structured software development practicesStrong attention to detail and good technical documentation skillsAbility to collaborate effectively across technical and business teamsAbility to proactively identify, communicate and escalation data-quality or migration issuesGood to HaveExperience with Snowflake, DatabricksExperience using dbt and/or CoalesceExperience with Fivetran or similar data integration toolsExperience with Salesforce data loading,Salesforce CRM Analytics (CRMA) and Data CloudExposure to SQL Server, DB2 or other enterprise database platformsExperience with cloud integration tools or automated data testingExperience working with sensitive information in controlled environmentsWhy 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 up-to-date 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