At a Glance
- Tasks: Design and maintain large-scale data systems for AI and machine learning.
- Company: Join Northrop Grumman UK, a leader in innovative tech solutions.
- Benefits: Enjoy flexible working, private healthcare, and career development opportunities.
- Other info: Diverse and inclusive workplace with excellent growth potential.
- Why this job: Make an impact in the exciting world of big data and AI.
- Qualifications: Strong troubleshooting skills and experience with big data tools required.
The predicted salary is between 60000 - 80000 £ per year.
As a Big Data Systems Engineer at Northrop Grumman UK, you will design, implement and maintain large‑scale data systems that support data science, machine learning and AI workloads, optimising data pipelines, ensuring GDPR and privacy compliance and working hand‑on with modern tools across hybrid cloud environments.
Responsibilities
- Develop and maintain automation scripts for data processing and workflows.
- Troubleshoot and resolve technical issues across big data systems, pipelines and integrations.
- Conduct integration testing to support the introduction of new tools and technologies.
- Apply strong Linux internals knowledge to improve reliability and system performance.
- Use TCP/IP and OSI model knowledge to design and troubleshoot networked systems.
- Manage, optimise and support data pipelines using NiFi, Airflow or similar orchestration tools.
- Design secure, scalable systems with a focus on GDPR and privacy compliance.
- Support hybrid cloud environments, including on‑premise and AWS resources.
- Support data science and AI workloads using Jupyter, Spacy, Transformers and NLTK.
- Work with big data platforms such as Hive, Impala and Elasticsearch.
- Implement and maintain BI and visualisation tools including Tableau, Kibana and PowerBI.
Qualifications
Essential
- Strong troubleshooting skills and ability to resolve complex technical issues.
- Hands‑on experience with integration testing.
- In‑depth Linux internals knowledge.
- Understanding of TCP/IP and OSI networking models.
- Experience with NiFi, Airflow or similar orchestration tools.
- Experience designing scalable big data systems with strong security and compliance focus.
- Hybrid cloud experience, particularly with AWS.
- Familiarity with data science, machine learning and AI tools.
- Experience with big data platforms such as Hive, Impala and Elasticsearch.
- Proficiency with Tableau, Kibana or PowerBI.
- Strong communication and collaboration skills.
Preferred
- AWS or other cloud certifications.
- Experience with additional orchestration tools.
- Experience with Cloudera, Hadoop, CDSW or CML.
Eligibility
UK citizenship required; travel up to 10% of the time; must obtain and maintain the highest level of UK Government security clearance.
Benefits
- Flexible working options, including an optional compressed fortnight with every other Friday off.
- Private healthcare cash health plan.
- Holiday buy/sell options.
- Career development programmes, mentoring and training.
- Performance‑related bonuses.
Diversity & Inclusion
Northrop Grumman is committed to hiring and retaining a diverse workforce and encourages individuals from all backgrounds and all abilities to apply.
Big Data Engineer in City of Westminster employer: 1120 NG UK Limited.
At Northrop Grumman UK, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Big Data Engineer, you will benefit from flexible working options, comprehensive career development programmes, and a commitment to diversity and inclusion, all while working with cutting-edge technologies in a supportive environment. Our focus on employee growth and well-being, combined with the opportunity to contribute to impactful projects, makes us a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Engineer in City of Westminster
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Big Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving big data systems, machine learning, or cloud environments. This will make you stand out when applying through our website.
✨Ace the Interview
Prepare for technical interviews by brushing up on your troubleshooting skills and Linux knowledge. Practice common interview questions related to big data systems and be ready to discuss how you’ve tackled complex issues in the past.
✨Follow Up
After an interview, don’t forget to send a thank-you email! It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the job.
We think you need these skills to ace Big Data Engineer in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Big Data Engineer role. Highlight your experience with big data platforms, orchestration tools, and any relevant projects that showcase your skills in data systems and compliance.
Show Off Your Skills:Don’t hold back on showcasing your troubleshooting skills and hands-on experience with integration testing. Use specific examples to demonstrate how you've resolved complex technical issues in the past.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to see your qualifications and experience at a glance.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at 1120 NG UK Limited.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of big data platforms like Hive, Impala, and Elasticsearch. Be ready to discuss how you've used these tools in past projects, as well as your experience with orchestration tools like NiFi or Airflow.
✨Show Off Your Troubleshooting Skills
Prepare to share specific examples of complex technical issues you've resolved. Highlight your strong troubleshooting skills and how your in-depth Linux knowledge has helped improve system performance in previous roles.
✨Understand GDPR and Compliance
Since the role focuses on designing secure systems, be prepared to discuss your understanding of GDPR and privacy compliance. Share any experiences where you ensured compliance while working on data pipelines or cloud environments.
✨Communicate Clearly and Collaboratively
Strong communication is key! Practice explaining technical concepts in a way that's easy to understand. Be ready to discuss how you've collaborated with teams in the past, especially when integrating new tools or technologies.
