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# Data Engineer (Python)

- **Company:** Information Tech Consultants
- **Location:** UK
- **Experience:** Experienced
- **Salary:** £35,000.0 - £45,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Big Data, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Software Debugging, Python (Programming Language), NoSQL, Standard Sql, SQL and Java (SQLJ), Software Organization, Git, Information Technology, Data Pipelines
- **Published:** July 16, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=0a8bf7f18bc38727

## About the Role

* 2-5 years of experience in Data Engineering or Python development.
 * Strong hands-on experience with Python (mandatory).
 * Experience with Java.
 * Good knowledge of SQL, ETL processes, and data pipelines.
 * Understanding of data engineering concepts and software development best practices.
 * Strong analytical, problem-solving, and communication skills.
 * Experience working in Agile environments.

Nice to Have: Scala, cloud platforms (AWS/Azure/GCP), NoSQL databases, Git, and CI/CD.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, Physics, or a related field.

Please Note:

 * Visa sponsorship is not available for this role.
 * Candidates are required to travel to London twice a week during onboarding and training.
 * Must be willing to travel or relocate within the UK based on client project requirements., * Bachelor's (required)

## Description

We are seeking a Data Engineer with strong Python development experience to design, build, and maintain scalable data solutions and data pipelines. You will work with modern data technologies to develop high-performance applications and support business-critical data initiatives in an Agile environment., * Design, build, and maintain scalable data pipelines and applications.

 * Develop and maintain solutions using Python, SQL and Java.
 * Process, transform, and manage large datasets from multiple sources.
 * Optimize data workflows to improve performance and reliability.
 * Collaborate with cross-functional teams to deliver high-quality data solutions.
 * Participate in code reviews, testing, debugging, and continuous improvement.


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