We are looking for an experienced Azure Data Engineer to design, develop, and maintain scalable data solutions supporting business intelligence, analytics, and data-driven decision-making.
The role will focus on data modeling, data pipeline development, Azure data services, data warehousing, SQL, Python, Power BI, and AI . You will work closely with business stakeholders, data analysts, data scientists, and engineering teams to translate business requirements into reliable and efficient data solutions.
The ideal candidate has strong hands-on experience with Azure Synapse, Azure Data Factory, Azure Data Lake, Azure SQL, advanced SQL, Python, and Power BI , together with strong stakeholder management and communication skills.
Work Arrangement: On-site – London, UK
What You’ll Do
- Design and develop scalable, efficient, and reliable data models to support business intelligence and analytics needs.
- Develop and implement architectural strategies for data storage, processing, and retrieval using Azure cloud services.
- Design, develop, and maintain ETL processes to ingest, transform, and load data from various sources into Azure data services.
- Build robust data pipelines using Azure Data Factory (ADF) to ensure smooth data flow and integration between different systems.
- Design, implement, and manage data warehouse / data lakehouse solutions on Azure , ensuring optimal performance, scalability, and cost efficiency.
- Utilize Azure Synapse Analytics to develop, optimize, and manage data warehousing solutions for large-scale data analytics.
- Develop and maintain Python scripts to automate data processing tasks and workflows.
- Design and create interactive Power BI dashboards and reports to enable data-driven decision-making.
- Provide support and training to end users for the effective utilization of data visualization tools.
- Write and optimize complex SQL queries for data extraction, transformation, and loading operations.
- Manage and administer Azure SQL databases , ensuring data integrity, security, and performance.
- Monitor data systems for performance, security, and reliability issues and implement enhancements as required.
- Identify and resolve data-related issues promptly to ensure the smooth operation of data processes.
- Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
- Work closely with data scientists, analysts, and other engineering teams to deliver comprehensive data solutions.
- Engage directly with stakeholders and clients, clearly communicating technical concepts and requirements.
- Maintain comprehensive documentation for data models, pipelines, and processes to ensure knowledge sharing and continuity.
- Ensure all data solutions comply with organizational policies, industry standards, and regulatory requirements .
Mandatory Skills
- Strong hands-on experience with Azure Data Services , including:
- Azure Synapse Dedicated SQL Pool / Data Warehouse
- Strong experience with Azure DevOps , including understanding of DevOps project flows.
- Advanced SQL skills.
- Hands-on experience with Power BI .
- Experience with relational databases such as:
- MySQL
- MariaDB
- Strong understanding of data modeling, ETL processes, data warehousing, and data pipelines .
- Strong stakeholder management and communication skills , with the ability to work effectively in a client-facing environment.
- Good understanding of data security, performance optimization, monitoring, and troubleshooting.
Nice to Have
- Experience with CI/CD pipelines .
- Experience implementing CI/CD for data engineering solutions using Azure DevOps.
- Experience with automated testing and deployment of data engineering solutions.
- Exposure to AI-related technologies and solutions .
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