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# Data Engineer

- **Company:** Hackajob Ltd
- **Location:** Manchester, UK
- **Salary:** £65,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Cyber Security, Information Engineering, Data Integration, Extract Transform Load (ETL), Database Theory, Python (Programming Language), NoSQL, Software Tools, Data Streaming, Unstructured Data, Enterprise Data Management, Free and Open-Source Software, Programming Languages
- **Published:** August 23, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5852366016

## About the Role

* Experience in Data Engineering, Analysis or Science, with a solid understanding of programming languages and applying them in previous roles.
 * Experience using Data Engineering tools and technology, including ETL tools, Python, and Big Data applications.
 * Demonstrable ability with the technologies you have used previously, along with adaptability and willingness to learn.
 * Good understanding of open source software for Data Engineering and the ability to evaluate platforms against products.
 * Ability to analyse a customer problem, evaluate options, and recommend solutions.
 * Up-to-date specialist knowledge of database concepts, including unstructured, NoSQL, and big data platforms, as well as object and data modelling techniques.
 * Previous experience working in Cyber Security and Intelligence is desirable, but not essential.
 * Successful candidates are required to hold an active eDV before applying for this opportunity.
 * All applicants must as a minimum achieve Baseline Personnel Security Standard.
 * Many roles also require higher levels of National Security Vetting and typically 5 to 10 years of continuous residency in the UK depending on the vetting level required.

## Description

* Design, develop, test, and support data collection, data integration, and ETL applications.
 * Make information and data available to key client stakeholders and technical interfaces.
 * Model data requirements, data sources, and data flows to bring order and structure to programmes of work.
 * Define how and where data is created, mastered, and destroyed to ensure proper control over the lifecycle of corporate data assets.
 * Use products to collect, integrate, store, visualise, and govern data and metadata.
 * Define metadata to provide searchability and governance, including Records Management, for unstructured data.

Technologies:

 * Big Data
 * ETL
 * Support
 * NoSQL
 * Python
 * Security


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