About the Role
We are seeking an experienced Data Engineer to design and maintain our Azure data platform. You will build scalable data pipelines, deliver insights, and support data-driven decision-making across the business while ensuring data quality, governance, and performance.
Key Responsibilities
-
Develop and maintain ETL pipelines using Azure Data Factory and Databricks
-
Design and optimise data models and warehouse structures
-
Integrate data from multiple sources into a unified platform
-
Deliver dashboards and reporting solutions aligned with business needs
-
Ensure data quality, security, and governance standards
-
Monitor and optimise pipelines for performance and cost-efficiency
-
Collaborate with stakeholders and support ad hoc data requests
-
Manage deployments, version control, and data workflows
Qualifications
-
Degree in IT, Software Engineering, or related field
-
Certification in ADF and Databricks preferred
-
10+ years' experience in Data Engineering or similar role
-
Strong experience with Azure (ADF, ADLS, SQL Server)
-
Hands-on with Databricks, Microsoft Fabric, and Power BI
-
Proficient in SQL and Python (R is a plus)
-
Familiar with Snowflake, Redshift, BigQuery, or Airflow
-
Strong analytical, problem-solving, and communication skills