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# Data Engineer 12 month FTC

- **Company:** SmartestEnergy
- **Location:** London, UK (Remote available)
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Computing Platforms, Microsoft Azure, Code Review, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Apache Hive, Python (Programming Language), Scrum Methodology, Power BI, Standard Sql, Software Engineering, Transact-SQL, Enterprise Data Management, Azure Data Factory, Apache Spark, Microsoft Fabric, Pyspark, Data Analytics, Data Lakehouse, Data Pipelines
- **Published:** August 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=1943d1f036513ad0

## About the Role

* Experienced in a Data Engineering, Data Analytics, or Software Development role, with a good understanding of ETL/ELT concepts and data integration principles;
 * Very strong PySpark for developing scalable data pipelines and data transformations and SQL skills (T-SQL and/or Spark SQL) and working knowledge of Python;
 * Hands-on experience with Microsoft Fabric and/or Azure Data Platform technologies, including Data Factory, Synapse, Lakehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Power BI integration;
 * Understanding of modern data engineering practices, including Medallion Architecture (Bronze/Silver/Gold), CI/CD, Azure DevOps, Agile/Scrum methodologies, testing, and clean code principles;
 * Knowledge of enterprise data warehousing, semantic models, data quality, security, and governance, with a willingness to learn and apply emerging Microsoft Fabric capabilities such as Real-Time Intelligence.

## Description

Join our growing team as a Data Engineer and play a key role in building modern, cloud-based data solutions that enable better business decision-making. This is an excellent opportunity for someone experience and who is passionate about data, eager to learn, and excited to work with Microsoft's Azure Data Platform and Microsoft Fabric. You'll work on developing enterprise-scale data pipelines, supporting Data Lakehouse and Data Warehouse solutions, and working with modern data architectures under the guidance of experienced engineers and architects.

In this role, you'll contribute to the development, testing, and maintenance of reliable data pipelines, support ETL processes across the Medallion Architecture, and help ensure data quality, governance, and reporting capabilities. You will be familiar with Azure DevOps, CI/CD practices, Spark notebooks, and Power BI and participate in collaborative code reviews, design sessions, and continuous learning opportunities., Once we receive your application, it will be reviewed by a human - no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.


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