Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Big Data Engineer

Northrop Grumman
City of London
6 days ago
Create job alert

UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes


RELOCATION ASSISTANCE: Relocation assistance may be available


CLEARANCE TYPE: UK-Highest Level of Government Clearance


TRAVEL: Yes, 10% of the Time


Salary: £77,400 - £116,000


Define Possible at Northrop Grumman UK


At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible.


This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible?


Opportunity

This is more than just a job; it's a mission.


Role responsibilities

  • Scripting and Automation: Develop and maintain scripts for automating data processes and workflows.
  • Troubleshooting: Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations.
  • Integration Testing: Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems.
  • Linux Internals: Utilize in-depth knowledge of Linux internals to optimize performance and reliability of big data infrastructure.
  • Network Protocols: Apply understanding of TCP/IP and OSI models in the design and troubleshooting of networked systems.
  • Data Pipeline Support: Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow.
  • Scalable System Design: Design scalable big data systems with a focus on security, GDPR compliance, and privacy
  • Hybrid Cloud Management: Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively
  • Data Science Support: Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK.
  • Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing
  • BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights.

We are looking for

  • Strong troubleshooting skills and the ability to diagnose and resolve complex technical issues.
  • Experience with integration testing and ensuring seamless tool integration.
  • In-depth knowledge of Linux internals and system administration.
  • Understanding of TCP/IP and OSI models.
  • Hands-on experience with data pipeline tools like NiFi and Airflow.
  • Proven ability to design scalable big data systems with a focus on security and GDPR compliance.
  • Hybrid cloud experience, specifically with on-premise and AWS cloud environments.
  • Familiarity with data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK.
  • Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch.
  • Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI.
  • Excellent communication and collaboration skills.

Preferred Qualifications

  • Certification in AWS or other cloud platforms.
  • Experience with additional data orchestration tools.
  • Familiarity with other big data tools and technologies.
  • Previous experience in a similar role within a dynamic and fast-paced environment.

Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable.


Work Environment

  • Full time on-site presence required

If you don't meet every single requirement, we still encourage you to apply.


Sometimes, people hesitate to apply because they can't tick every box. We encourage you to apply if you believe the role will suit you well, even if you don't meet all the criteria. You might be exactly who we are looking for, either for this position or for our opportunities at Northrop Grumman UK. We are on an exciting growth trajectory and growing our teams across the UK.


Security clearance

You must hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: .


Benefits

  • A mission to believe in - Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions, to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters.
  • A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to our partnerships with the Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong.
  • Your career, your way - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise, and nurture your passion. Looking for flexibility? Balance your professional career with your personal life through our health and wellbeing benefits, discount schemes, and investment in your future development. Speak to our team to find the balance that's right for you.

Ready to apply?

Yes - Submit your application online. Your application will be reviewed by our team and we will be in touch.


Possibly, I'd like to find out more about this role - Reach out to our team for more information and support: .


No, I don't think this role is right for me - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals.


Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.



#J-18808-Ljbffr

Related Jobs

View all jobs

Big Data Engineer - High level Clearance (IT) / Freelance

Big Data Engineer

Big Data Engineer

Big Data Engineer - R10188677

Big Data Engineer - High level Clearance

Big Data Engineer/ Modeler

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.