About Billigence:
Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture.
About the role :
We are looking for an experienced Azure Data Factory & Databricks Developer with strong hands-on expertise in Azure data engineering, Snowflake, and modern data modeling techniques. The ideal candidate will have decent years of project experience and will be responsible for designing, developing, and optimizing scalable ELT/ETL solutions on the Microsoft Azure platform.
What you'll do:
- Design, develop, and maintain Azure Data Factory (ADF) pipelines for reliable data ingestion and orchestration
- Develop and optimize Databricks notebooks for large-scale data processing and transformations
- Implement robust ELT/ETL processes integrating multiple data sources into Snowflake
- Perform data modeling using modern approaches, including Data Vault 2.0
- Write, optimize, and maintain complex SQL statements and SQL scripts
- Ensure data quality, performance optimization, and scalability across data pipelines
- Collaborate with stakeholders, data architects, and downstream analytics teams to deliver high-quality data solutions
- Troubleshoot, monitor, and improve existing data workflows in production environment
What you'll need :
- Decent years of project experience in data engineering or data platform development
- Strong hands-on experience with Azure Data Factory (ADF)
- Proven experience developing solutions using Azure Databricks
- Solid experience working with Snowflake as a cloud data warehouse
- Expertise in SQL, including performance tuning and complex query writing
- Strong understanding of ELT/ETL architectures and best practices
- Experience with Data Modelling, specifically Data Vault 2.0
- Familiarity with cloud-based data infrastructure on Microsoft Azure
Benefits:
- Hybrid/remote working environment, allowing you a flexible work-life balance to thrive both in the office and from the comfort of your home.
- Competitive compensations package + performance bonus.
- Referral bonus scheme.
- Coaching, mentoring, and buddy scheme (for faster integration during the probationary period)
- Certification opportunities throughout your time with us.
- Career growth support, internal moves, and career advancement opportunities.
- Team building and networking events.
