Key skills
AzureCloudETLPythonSQLAIELTData EngineeringAnalyticsSnowflakeDatabricksCI/CD
About this role
Role Overview
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Integrate data from multiple operational and workflow systems.
- Build and optimise cloud-based data platforms and architectures.
- Ensure data quality, governance, and security standards are maintained.
- Support AI and analytics teams with reliable data infrastructure.
- Monitor pipeline performance and troubleshoot data issues.
- Collaborate across engineering, analytics, and business teams.
Requirements
- Strong experience with SQL and Python for data engineering.
- Experience with ETL tools and data orchestration frameworks.
- Knowledge of Azure Data Factory, Databricks, Snowflake, or similar platforms.
- Experience with cloud-based data architectures.
- Understanding of data modelling and database design principles.
- Familiarity with CI/CD and DevOps practices.
Tech Stack
- Azure
- Cloud
- ETL
- Python
- SQL
Benefits
- Flexible working hours
- Professional development opportunities