Senior Data Engineer

On behalf of our client, a leading organization within the retail sector, we are seeking a skilled Data Engineer with proven expertise in Microsoft Azure technologies—including Azure Data Factory, Azure Databricks, and Microsoft Fabric. This role is an excellent opportunity for a passionate data professional to contribute to high-impact, enterprise-scale data solutions.

Day to Day

• Design, develop, and maintain robust data pipelines using Azure Data Factory and Azure Databricks
• Implement scalable ETL/ELT solutions to ingest and transform data from diverse sources
• Collaborate with data analysts, front-end developers, and key business stakeholders to gather and translate data requirements
• Utilize Microsoft Fabric for unified data management and analytics
• Develop efficient and reliable data processing code using SQL and PySpark
• Ensure adherence to data governance, security, and monitoring best practices

Must have:

• Bachelor’s degree in Information Technology, Computer Science, or a related discipline
• Minimum of 3 years of experience in a similar role within a data engineering environment
• Strong hands-on experience with Azure Data Factory and Azure Databricks
• Working knowledge of Microsoft Fabric
• Solid background in SQL, SSIS, and PySparkFamiliarity with data lake and data warehouse architectures (e.g., ADLS, Lakehouse)
• Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams
• Excellent written and spoken English communication skills

Good to have:

• Azure Data Engineer Associate or other relevant Azure certifications
• Experience implementing CI/CD pipelines for data workflows
• Familiarity with Azure monitoring tools (e.g., Azure Monitor, Log Analytics)
• Exposure to Power BI for data visualization and reporting

What you will get:

• Competitive salary and benefits package
• Ongoing training and certification support (especially in Cloud technologies)
• Hybrid work model with flexible arrangements
• Career development opportunities within a well-established group
• Exposure to innovative projects across data engineering and analytics

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