DATABRICKS CERTIFICATION IS ESSENTIAL & REQUIRED FOR THIS ROLE!!
IT IS ABSOLUTLEY ESSENTIAL THAT YOU HAVE SOLID CLIENT FACING DATABRICKS & DLT
We are looking for 3 Senior Azure candidates with expertise within Databricks to join our clients teams.
We have open Databricks roles with 3 different organisations.
We have 2 roles both on-site and 1 role which is hybrid.
Assignments Summary
Design, develop, and maintain data platforms and governance frameworks with a strong focus on Databricks and Fabric, ensuring robust and secure data pipelines.
Main Responsibilities
Drive improvements of the Databricks platform setup for scalable and secure data solutions.
Design and implement governance models, catalogs, and metadata management.
Work with Databricks and related services including Delta Live Tables and Lakeflow connections.
Apply data modelling principles for analytical and operational workloads, including star and snowflake schemas.
Implement and manage Infrastructure as Code (IaC) solutions for Databricks.
Collaborate with stakeholders to translate requirements into governed data products.
Key Requirements
Bachelor's or Master's in Computer Science, Data Engineering, or equivalent experience.
Proficiency in Python, SQL, and Terraform (or equivalent IaC tools).
Fabric an advantage
Deep expertise in the Databricks platform,



including Delta Lake and Unity Catalog.
Experience in Infrastructure as Code, automation, and CI/CD pipelines.
Knowledge of cloud technologies, preferably AWS.
Solid background in modeling structured and unstructured data.
A Grenadier attitude.
Infrastructure and DevOps
Lead and enforce the use of source control systems such as Git or Azure DevOps in line with company standards.
Design, implement, and maintain CI/CD pipelines and environment management processes for data engineering solutions.
Implement and maintain automated testing and data validation for pipelines.
Lead performance testing and optimisation activities for data engineering solutions.
Testing and Quality
Design, write, and review unit and integration tests to ensure solution quality and reliability.
Document issues and resolutions accurately for review•
Lead and oversee testing processes to validate data accuracy, performance, and quality.
Ensure solutions are delivered in line with quality and documentation standards.
Support knowledge sharing and improvement of internal frameworks and templates.
Nice to Have
Familiarity with high-performance data processing pipelines.
Experience with data visualisation tools.
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📌 Microsoft Data Engineer / Consultant (Brisbane)
🏢 Nameless
📍 Brisbane