DWS is seeking multiple Data Engineers for a major data migration with our client in the healthcare sector. Working with a team of data engineers, analysts and reporting specialists, you will contribute to a vital enterprise-wide data migration program leveraging predominantly Microsoft Fabric, Python, Pyspark.
There are various projects part of the program covering data migrations both to, and from, Dynamics 365, Salesforce, financial and clinical systems.
This is an opportunity to play a key technical data role, designing and delivering secure and scalable solutions, undertaking data modelling, and migration using both automated and some limited manual solutions.
Where:
Brisbane (Sydney or Melbourne may also be considered)
Type:
Max Term
Length:
7+ months, to end of 2026 initially - possibly longer
Start:
Immediately (by early June)
Style:
Hybrid; 3+ days onsite
Salary:
Up to $200K (inc super) depending on experience
Essential Skills and Experience:
* Strong hands‐on experience with Microsoft Fabric; or demonstrable experience across equivalent Azure data platform components including ADLS/Delta Lakehouse architecture, Synapse or Spark‐based data engineering workloads, Data Factory (or similar orchestration tools), and Power BI integration
* Proficiency in Delta Lake and medallion architecture patterns; e.g., bronze/silver/gold layering for controlled data refinement
* Experience designing and operating enterprise‐scale data pipelines within Fabric or Azure ecosystem; e.g., Azure Data Factory, Synapse, or similar
* Advanced Python development skills; including modular design, error handling, logging, and performance optimisation
* Strong experience with PySpark; including DataFrame APIs, Spark SQL, distributed processing concepts, and handling large‐scale datasets
* Experience integrating with Salesforce, Dynamics 365, and finance/operational systems
* Experience designing and executing complex data migrations across multiple platforms; including ERP, CRM, and clinical/operational systems
* Strong capability in data mapping, transformation logic, and schema evolution
* Strong grounding in conceptual and logical data modelling, including dimensional modelling and canonical data structures for enterprise reporting
* Expertise in automated and manual migration approaches; including when to apply each effectively
* Proven capability implementing data validation frameworks; pre‐ and post‐migration checks, business rule validation, and exception handling
* Strong understanding of data governance principles; including standards, naming conventions, and validation rule enforcement
* Familiarity with APIs, connectors, and ingestion patterns
Working at DWS offers you:
* Ongoing professional and career development
* Paid learning and certifications (chosen entirely by you), with completion bonuses
* An active social club that hosts regular, subsidised events
* Corporate discounts on a range of services and products, including health insurance, gym memberships, JB HiFi, Apple products and much more
All applicants must hold Australian Citizenship, Permanent Residency (PR), or other permanent work rights - DWS are unable to sponsor or support visas.
No agencies please - our in-house talent acquisition team have this covered.
#J-18808-Ljbffr