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Lead Big Data Engineer- eDV Cleared

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Posted a day ago, valid for 16 days
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £48,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A permanent opportunity is available for a Lead Big Data Engineer with enhanced DV clearance within a leading company supporting UK national security projects.
  • The role offers a salary of up to £96,000 depending on experience.
  • Candidates must have at least several years of relevant experience and hold Enhanced DV Security Clearance.
  • Key skills required include expertise in Linux, scripting languages, data pipeline tools, and big data platforms.
  • The position is based in London and involves designing scalable data systems with a focus on security and compliance.

LEAD BIG DATA ENGINEER - EDV CLEARED

BRAND NEW CONTRACT OPPORTUNITY AVAILABLE WITHIN A LEADING COMPANY FOR A LEAD BIG DATA ENGINEER WITH ENHANCED DV CLEARANCE

  • Permanent opportunity for a Lead Big Data Engineer with enhanced DV clearance.
  • Industry leading company supporting UK national security projects.
  • Salary up to £96,000 DOE.
  • London based in an easily accessible location.
  • To apply please call or email

WHO ARE WE?

We are recruiting a Lead Big Data Engineer to work with an industry-leading cyber/National Security/defence client with office locations in and around London. The expertise of our engineers drives us forward, and we're looking for talented individuals eager to learn and grow to join us. Due to the nature of these clients, you must hold Enhanced DV Security Clearance to work on National Security projects.

WE NEED THE LEAD BIG DATA ENGINEER TO HAVE….

  • Enhanced DV Security Clearance.
  • In depth knowledge of Linux internals and system administration.
  • Experience with scripting languages (eg. Python, Bash or similar).
  • Troubleshooting expertise, with the ability to diagnose complex technical issues.
  • Integration testing experience.
  • Understanding of TCP/ IP and OSI Models.
  • Hands-on experience with data pipeline tools (eg. NiFi and Airflow).
  • Past experience designing scalable data systems with a focus on security and GDPR compliance.
  • Hybrid cloud experience with on-premise and AWS cloud environments.
  • Knowledge of data science, ML and AI tools (eg. Jupyter, Spacy, Transformers).
  • Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch.
  • Experience with business intelligence and visualization tools like Tableau, Kibana, and PowerBI.
  • Collaboration skills.

TO BE CONSIDERED….

Please either apply by clicking online or emailing me directly to For further information please call me on 7842002894. I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search Laura Jackson. I look forward to hearing from you.

LEAD BIG DATA ENGINEER - EDV CLEARED

KEY SKILLS:

DATA ENGINEER/ BIG DATA/ BIG DATA ENGINEER/ PYTHON/ LINUX/ DATA PIPELINE/ DATA SCIENCE/ AI/ AWS/ DV CLEARED / DV CLEARANCE / DEVELOPPED VETTING / DEVELOPED VETTED / DEEP VETTING / DEEP VETTED / SC CLEARED / SC CLEARANCE / SECURITY CLEARED / SECURITY CLEARANCE

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.