Develop and maintain scalable data pipelines and ETL solutions using Azure-based tools (e.g., Data Factory, Databricks, Azure Functions)
Collaborate with architects, analysts, and developers to translate business requirements into technical data solutions
Monitor and optimize performance, reliability, and quality of data workflows
Participate in peer reviews, documentation, and continuous improvement initiatives within the Data Engineering practice
Contribute to agile delivery processes, including sprint planning, estimation, retrospectives, and CI/CD pipeline activities

Bachelor’s degree in Computer Science, Software Engineering, or a related field
5 years of hands‑on experience in data engineering, data integration, and ETL development
1–2 years of experience working within agile teams applying CI/CD, automated testing, and DevOps practices
Experience working in Microsoft Azure environments, including Azure Data Factory, Azure Functions, and building data pipelines in Databricks
Strong technical and analytical skills, including SQL proficiency and an understanding of data integration and performance tuning
Experience with version control systems (e.g., Git, Azure DevOps)
Familiarity with data lakes, metadata management, data quality, and enterprise reporting concepts
Ability to communicate technical concepts clearly to both technical and non-technical stakeholders

Great benefits from your first day of work
Flexible Work Program
hybrid work and flexible hours
Defined benefit pension plan
Flexible benefits program options, including Personal & Health spending account(s)
Generous vacation entitlement and flex days

Data Engineering Specialist

Key skills