Sydney
Contract Engagement

We are seeking a skilled Data Engineer with robust Databricks experience to join our growing data team. In this role, you will design, build, and optimize large-scale data pipelines, ensure high data quality, and support analytics a initiatives.

Responsibilities
Develop and maintain scalable ETL/ELT pipelines using Databricks (Spark, Delta Lake).
Build and optimize data lakehouse architectures for batch and streaming workloads.
Collaborate with data analysts, data scientists, and product teams to deliver reliable datasets for reporting and ML models.
Implement best practices around data quality, observability, governance, and documentation.
Manage and optimize Databricks clusters, workflows, and job performance.
Integrate data from various sources (APIs, databases, cloud storage, SaaS platforms).
Support infrastructure using Azure/AWS and CI/CD for data pipelines.




Ensure compliance with data privacy and security standards.

Required Qualifications
4+ years of experience as a Data Engineer.
Hands-on experience with Databricks, Apache Spark, and Delta Lake.
Solid SQL and Python skills.
Experience building ETL/ELT pipelines at scale.
Familiarity with cloud platforms (Azure, AWS, or GCP).
Experience with Azure Databricks or AWS Databricks.
Understanding of data modeling, distributed computing, and data warehousing concepts.
Experience with data orchestration tools (Airflow, dbt, ADF, Prefect, etc.).
Experience with version control (Git) and CI/CD tools.

Additional information
Contract Engagement
Tech skills required Python | SQL | Databricks | Dbt
Immediate Start

📌 Software Engineer Python Sql Databricks Dbt Sydney (Australia)
🏢 TalentReady
📍 Australia