Data Engineer

• Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory.

• Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.

• Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.

• Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects.

• Monitor and optimize performance of data pipelines and databases.

• Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)

• Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory.

• Proven expertise in SQL, Python, and other scripting languages.

• Experience with data modeling, ETL processes, and data warehousing principles.

• Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.

• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.

• Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.

• PowerBI experience is also advantageous.

• Permanent work from home

• AU morning shift

• Fun and engaging culture

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