Role: Senior Data Engineer
Location: UK Remote some travel to site (london) is required.
Rate £400.00 

As a Senior Data Engineer, you’ll play a key role in crafting the data platforms, models and pipelines that inform strategic decision-making for our customers and prepare data for a plethora of use cases from simple analytics to Generative AI and Data Science. This role reports into our Principal Data Engineer. 

Your Role 

As a Senior Data Engineer, you will: 

• Collaborate and Innovate: Partner with both internal and customer stakeholders and teams to understand business needs and produce high quality data products and assets. 

• Create Success: Work alongside our solution architects to build trusted customer relationships, and lay the foundation for successful, best practice data engineering. 

• Leverage Expertise: Be a subject matter expert in data engineering and surrounding practices and services. Build well-structured data pipelines, elegant data models and supporting transformations and tests. 

• Share Experience: Support and mentor more junior team members, stay current with emerging trends and share insights through blogs and other media. 

• Work in a Hybrid Environment: Participate in weekly in-person meetings at our London or Bristol offices, with occasional travel to customer sites. Enjoy a flexible blend of remote and on-site work. 

Your Skills: 

• Azure Data Engineering: Proven success as an Azure Data Engineer, with the ability to consult, advise, engineer and optimise our customers data products and assets. 

• Azure Data Products: Expertise in one or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. 

• Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to be an expert in these but need to understand where they fit into the picture. 

• DevOps: Experience with CI/CD promotion from Dev to Prod, through tools like Fabric, Azure DevOps and/or GitHub. 

• Exceptional Communication: Strong verbal, written, and presentation skills to both internal and external audiences. 

• Versatile Experience: Working with varying organisations, from SMC to Enterprise. 

• Agile Methodologies: Commercial Agile experience is desirable. 

• Certification Preferred: Microsoft certifications are advantageous. 

• AI Aware: An understanding of Data Science and knowledge of Generative AI would be beneficial but not a firm requirement