Senior Data Engineer (Azure)

Project overview: The project focuses on building a modern, enterprise-grade data platform that serves as a core foundation for data-driven decision-making across multiple lines of business.

• Position overview: We are seeking an experienced Senior Data Engineer to join a high-performing data team working on a large-scale, cloud-based platform. In this role, you will design, build, and maintain robust data pipelines and data warehousing solutions that enable analytics, reporting, and business intelligence initiatives.

• This role requires regular collaboration with stakeholders and on-site presence at the client's Central London office 3-4 days per week.

• Responsibilities: Design, build, and maintain scalable data pipelines using Azure and Snowflake

• Develop and optimize ETL / ELT processes for batch and micro-batch data workloads

• Work with Azure Data Factory, Azure SQL, Azure Storage, and Azure Functions

• Design and maintain data warehouse models (dimensions, facts, star/snowflake schemas)

• Apply best practices in Kimball and Inmon data warehousing methodologies

• Write, optimize, and maintain complex SQL queries supporting analytics and reporting

• Ensure data quality, consistency, and reconciliation across multiple data sources

• Collaborate with Business Intelligence teams to support dashboards and reporting tools

• Participate in technical requirements gathering and solution design discussions

• Contribute to data platform architecture design, including performance and infrastructure considerations

• Troubleshoot issues and continuously improve system performance and reliability

Do you have experience in Software development?, * 7+ years of experience in software development

• 5+ years of experience working with data-intensive systems

• At least 2 years of hands-on experience with cloud-based data platforms (Azure preferred)

• Strong hands-on experience with the Azure Data Platform, including: Azure Data Factory, Azure SQL, Azure Storage, Azure Functions

• Strong SQL expertise, including data modeling and complex ETL-based SQL development

• Proven experience building periodic and micro-batch pipelines

• Solid understanding of data warehouse architecture and data loading strategies

• 1+ year of hands-on experience with Snowflake

• Strong analytical and problem-solving skills with a focus on data quality

• Experience working with large datasets in enterprise environments

• Nice to have: Advanced experience with Snowflake (performance tuning, optimization, cost management)

• Proficiency in Python and/or Databricks

• Experience designing end-to-end data platform architectures

• Previous experience supporting enterprise BI platforms

• Exposure to CI/CD pipelines and infrastructure-as-code concepts