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# Senior Data Engineer

- **Company:** Sciensus
- **Location:** Tamworth, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Azure, C Sharp (Programming Language), Computer Programming, Data Dictionary, Data Infrastructure, Relational Databases, Python (Programming Language), Azure Data Lake, Scala (Programming Language), Data Streaming, Transact-SQL, Cloud Platform System, Azure Data Factory, Data Strategy, Infrastructure Automation Frameworks, Bicep, Terraform, Azure Synapse Analytics, Stream Analytics, Databricks
- **Published:** May 13, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=cae4a5f59df55f63

## About the Role

Do you have experience in Unity?, Proficiency in Azure Databricks with experience working with Unity Catalog, DLT, Cluster management and optimisation.
Proficiency in other Azure services and technologies, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage. Azure Stream Analytics, and Azure Event Hubs.
Strong programming skills in languages such as Python, Scala, C#, .NET.
Advanced SQL knowledge and experience working with relational databases, query authoring (T-SQL) and optimisation.
Experience in building and deploying CI/CD processes with Azure DevOps and working with infrastructure as code tools such as Terraform, BICEP, Arm

## Description

Here at Sciensus a new opportunity has arisen for a Senior Data Engineer to join our Technology team.

This will be a hybrid model based, in Burton, coming into the office as and when required.

Essentially you will support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service.

Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions, serving as a primary proponent of the company's data dictionary, advocating for a unified business language and contributing to the development and execution of the data strategy, ensuring the integrity of our data assets, and driving forward the quality and performance of our data platform through continuous improvement and continuous development.


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