At a Glance
- Tasks: Design and maintain scalable big data systems for AI and machine learning.
- Company: Join Northrop Grumman UK, a leader in technology solutions for defence and security.
- Benefits: Enjoy flexible working options, private healthcare, and performance bonuses.
- Why this job: Make a real impact on national security while growing your career in a supportive environment.
- Qualifications: Strong troubleshooting skills and experience with big data tools required.
- Other info: UK citizenship and highest level government clearance needed; relocation assistance may be available.
The predicted salary is between 60000 - 84000 £ per year.
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. As a Big Data Systems Engineer, you will be responsible for designing, implementing, and maintaining scalable big data systems that support our data science, machine learning, and AI workloads. You will work closely with cross-functional teams to ensure seamless data integration, security, and compliance with GDPR and privacy regulations. Your expertise in scripting, troubleshooting, and integration testing will be essential in optimizing our data pipelines and orchestration processes.
Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.
If you are looking for a career with meaning where you can make a difference to the nation's security and support critical missions, then look no further.
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.
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: We can offer you a range of flexible working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits include private health care, cash health plan, holiday buy and sell, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team.
Why join us?
- 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.
- A place to belong and thrive - Every voice matters at our table meaning you can bring your authentic self to work.
- 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.
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.
Big Data Systems Engineer employer: Northrop Grumman
Contact Detail:
Northrop Grumman Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Systems Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as NiFi, Airflow, and big data platforms like Hive and Elasticsearch. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Network with professionals in the field of big data systems engineering. Attend relevant meetups or online forums where you can connect with current employees at Northrop Grumman or similar companies to gain insights and potentially get referrals.
✨Tip Number 3
Prepare for technical interviews by brushing up on your troubleshooting skills and understanding of Linux internals. Be ready to discuss real-world scenarios where you've successfully resolved complex issues related to data systems.
✨Tip Number 4
Showcase your understanding of GDPR compliance and security measures in your conversations. Being able to articulate how you would ensure data protection in your role will demonstrate your alignment with the company's mission and values.
We think you need these skills to ace Big Data Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Big Data Systems Engineer role. Focus on your expertise in scripting, troubleshooting, and big data technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your passion for the mission of Northrop Grumman UK. Mention how your background can contribute to their goals in data science and security.
Highlight Relevant Projects: Include specific examples of projects where you have designed scalable big data systems or worked with tools like NiFi, Airflow, or AWS. This will demonstrate your hands-on experience and problem-solving abilities.
Showcase Soft Skills: In addition to technical skills, emphasise your communication and collaboration skills. Northrop Grumman values teamwork, so providing examples of successful collaborations can strengthen your application.
How to prepare for a job interview at Northrop Grumman
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data systems, particularly your knowledge of tools like NiFi, Airflow, and NoSQL platforms such as Hive and Elasticsearch. Highlight specific projects where you successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills. Prepare examples of complex technical issues you've resolved in the past, focusing on your thought process and the steps you took to diagnose and fix the problems.
✨Understand Compliance and Security
Since the role involves GDPR compliance and security, be ready to discuss how you ensure data protection in your work. Familiarise yourself with relevant regulations and be prepared to explain how you would apply them in a big data context.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with cross-functional teams. Be clear and concise in your responses during the interview.