Data Engineer
HybridAdelaide, South Australia, Australia
Adelaide, South Australia, AustraliaHybridFull TimeEnterprise
Full TimeEnterprise
Job Summary
Design and build scalable data pipelines using Azure, Fabric, and Databricks to optimize performance for large datasets. Leverage Python and SQL expertise for data extraction, transformation, and integration while developing and refining workflows. Collaborate with cross-functional teams and engage directly with clients to translate business requirements into technical solutions that drive data strategy. Provide technical leadership by mentoring junior engineers and ensuring best practices are followed across all projects.
Required Qualifications
- 5+ years of Data Engineering expertise
- strong consulting background
- Experience in Azure, Databricks, and Fabric
- Proven experience as a Data Engineer
- strong skills in ETL, ELT, and cloud-based data solutions
- Hands-on expertise with Azure & Databricks
- worked with Microsoft Fabric
- Strong programming skills in Python & SQL
- A consulting mindset
- comfortable engaging with clients
- tailoring solutions to their needs
- Solid understanding of data modelling
- data ingestion
- data integration
- cloud architectures
- Medallion Architecture
- Excellent problem-solving skills
- the ability to troubleshoot complex data issues
- Strong communication skills
- the ability to convey technical concepts to both technical and non-technical stakeholders
- current police clearance
- willing to obtain a police clearance at short notice
Desired Qualifications
- Experience with other cloud platforms (AWS, GCP, Snowflake)
- Familiarity with data visualisation tools (e.g., Power BI, Tableau)
- Knowledge of DevOps practices in a data engineering context
- Relevant tertiary qualifications
- Previous experience in working as a Consultant
- Baseline and/or NV1 clearances
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