Senior Data Engineer – Azure Databricks & Data Lakehouse

Tennis Australia; City of Melbourne; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Tickets to Australian Open

Onsite gym and parking

Salary packaging and partner discounts

Paid parental leave up to 26 weeks

Work with a diverse team

Job summary

Tennis Australia in Melbourne is seeking a Senior Data Engineer- Data Bricks to design and deliver scalable data integration, analytics and reporting across our data platform. You’ll own data ingestion and processing, and work hands-on with modern cloud technologies to support a high-quality data warehouse and analytics environment.

You will collaborate with engineers, analysts and stakeholders to build reusable data processing frameworks and architectural approaches that scale with the

Qualifications

• Senior-level data engineering experience in enterprise, production-grade environments.
• Strong hands-on experience with Azure data technologies and CI/CD.
• Ability to design scalable analytical data solutions incl. data warehouses and lakehouse architectures.
• Advanced SQL, Python, PySpark and Databricks SQL with focus on performance and data quality.
• Experience balancing project delivery and BAU/support, resolving data quality issues.
• Strong stakeholder engagement and communication skills.
• Knowledge of cloud security, access control, analytics architecture and data governance.
• Willingness to obtain Police Check and Working with Children Check.
• Flexibility in working hours and Tennis Australia arrangements.

Responsibilities

• Design, develop, and evolve data engineering solutions on Azure Databricks, ADF, and ADLS.
• Develop and maintain reliable, secure, high-performing data pipelines.
• Create robust data transformations using PySpark, SQL, and Python.
• Build analytical and dimensional data models for TA BI, analytics and AI.
• Manage data ingestion and onboarding of new data sources and partners.
• Collaborate with data engineers, analysts and stakeholders.
• Ensure data quality, reliability and performance across environments.

Skills

Azure Databricks

Azure Data Factory

Azure DevOps

CI/CD pipelines

PySpark

Databricks SQL

SQL

Python

Data Warehousing

Lakehouse

Data Modeling

Data Quality

Performance tuning

Stakeholder Engagement

Leadership

Cloud Security

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

CI/CD with Azure DevOps

Job description

Tennis Australia in Melbourne is seeking a Senior Data Engineer- Data Bricks to design and deliver scalable data integration, analytics and reporting across our data platform. You’ll own data ingestion and processing, and work hands-on with modern cloud technologies to support a high-quality data warehouse and analytics environment.

You will collaborate with engineers, analysts and stakeholders to build reusable data processing frameworks and architectural approaches that scale with the