Lead Data Engineer

The Role:

As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures.

Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams.

Key Responsibilities:

• Define and implement data engineering standards, frameworks, and best practices.
• Design, build, and maintain secure, scalable, and observable data pipelines.
• Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures.
• Implement and manage Medallion Architecture patterns for data ingestion and transformation.
• Ensure data quality, completeness, integrity, and governance across the platform.
• Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency.
• Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products.
• Support CI/CD implementation and engineering automation practices.
• Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities.
• Design monitoring, disaster recovery, and business continuity strategies for critical data services.
• Promote effective data governance, metadata management, and catalogue standards.
• Mentor engineers and provide technical leadership across multiple data initiatives.

Key Requirements:

• 5 years’ experience in Data Engineering within cloud-based environments.
• Proven expertise with Microsoft Fabric and modern data platform technologies.
• Advanced Python and SQL development skills.
• Experience building and optimising ETL/ELT pipelines.
• Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures.
• Experience with Azure Data Factory, Azure Synapse, and Apache Spark.
• Knowledge of data modelling, semantic models, and enterprise reporting solutions.
• Experience implementing data governance, security, and quality frameworks.
• Strong understanding of modern data engineering practices, including observability and monitoring.
• Experience working with CI/CD pipelines and DevOps practices.
• Ability to engage effectively with both technical and non-technical stakeholders

What We’re Looking For

The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies.

If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you