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# Junior Data Engineer

- **Company:** Jackson Hogg
- **Location:** Sunderland, UK (Remote available)
- **Experience:** Starter
- **Salary:** £30,000.0 - £35,000.0
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Microsoft Azure, Business Systems, Cloud Computing, Cloud Database, Databases, Data Architecture, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Document-Oriented Databases, Python (Programming Language), Standard Sql, Systems Integration, Microsoft Fabric, Information Technology, Data Analytics, Data Pipelines, Databricks, Programming Languages
- **Published:** July 31, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5821635812

## About the Role

* Degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related subject, or equivalent commercial experience.
 * Good SQL skills and experience with Python or another programming language.
 * Understanding of databases, data modelling, and ETL/ELT concepts.
 * Interest in cloud data technologies and modern data platforms.
 * Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous.
 * Strong analytical, problem-solving, and communication skills.

## Description

We're recruiting exclusively for a Junior Data Engineer to join a growing organisation investing heavily in its cloud-based data platform. This is an excellent opportunity for a recent graduate or early-career professional looking to build a career in data engineering, working with modern Azure technologies and large-scale business data.

You'll work alongside experienced data and BI professionals to develop and maintain data pipelines, integrate data from a variety of systems, and help deliver trusted, high-quality data for reporting and business decision-making. The role offers exposure to modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression.
Key Responsibilities

 * Build and support ETL/ELT data pipelines using modern cloud technologies.
 * Assist with integrating and transforming data from multiple business systems.
 * Help maintain a scalable, secure, and reliable data platform.
 * Develop data quality checks, monitoring, and automated testing processes.
 * Work closely with BI and business teams to ensure data is accurate and accessible.
 * Document data processes, transformations, and technical solutions.
 * Contribute to the ongoing development of data architecture and best practices.


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