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# Data Engineer - Defence

- **Company:** IBM
- **Location:** Hursley, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Information Technology Consulting, Information Engineering, Data Mining, R (Programming Language), Apache Hadoop, SPSS (Software), Python (Programming Language), NumPy, Tensorflow, SQL Databases, Text Mining, Data Processing, Pytorch, Apache Spark, Pandas, Scikit Learn, Data Analytics, Dask
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815464212-data-engineer-defence

## About the Role

* Bachelor's Degree
 * Extensive experience with data engineering principles and advanced analytics techniques.
 * Proficiency in programming languages (Python, R, SQL).
 * Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
 * Strong leadership and communication skills; ability to lead cross-functional teams and manage stakeholder expectations.

Preferred Technical and Professional Experience

 * Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
 * Familiarity with big data technologies (Hadoop, Spark).
 * Background in data science, IT consulting, or a related field.
 * AWS Certified Big Data or equivalent.

As an equal opportunities' employer, we welcome applications from individuals of all backgrounds. However, to be eligible for this role you must have the valid right to work in the UK. We do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.

## Description

* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
 * Mentor junior data engineers, providing guidance and support in their professional development.
 * Perform statistical analysis, data collection, data mining, and text mining.
 * Design, build, and manage solutions for advanced analytics projects.
 * Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
 * Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization.


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