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# Data Engineer

- **Company:** Equiniti
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Dataspaces, Data Warehousing, Monitoring of Systems, Python (Programming Language), Machine Learning, Azure Data Lake, Scala (Programming Language), SQL Databases, Data Streaming, Data Processing, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Microsoft Fabric, Data Lakes, Integration Frameworks, Azure Synapse Analytics, Software Version Control, Data Pipelines, Apache Beam, Databricks
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815449140-data-engineer

## About the Role

* Good experience in data engineering, focusing on cloud-based data pipelines and architectures
 * Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management
 * Proficiency in Python, SQL, Scala, or Java
 * Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory
 * Strong understanding of data architecture principles, data modelling, and data governance
 * Experience with cloud-based data platforms, including Azure and or AWS
 * Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams

Desirable

 * Experience with Azure Synapse Analytics, Azure Data Lake Storage, or other Azure data services
 * Experience with agile development methodologies and version control systems such as Git
 * Certification in Microsoft Azure, Databricks, or other relevant technologies

## Description

We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Microsoft Fabric and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem, improving data infrastructure, data quality, and enabling data-driven decision-making across the organization., * Design, build, and maintain large-scale data pipelines using Microsoft Fabric and Databricks

 * Develop and implement data architectures that meet business requirements, ensuring data quality, security, and compliance
 * Collaborate with Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools
 * Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness
 * Develop and maintain data quality checks and monitoring tools to ensure data accuracy and integrity
 * Work with cross-functional teams to identify and prioritize data engineering projects and initiatives
 * Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing


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