Big Data Engineer

Big Data Engineer

London Full-Time 60000 - 90000 £ / year (est.) No home office possible
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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 career development opportunities.
  • Why this job: Make a real impact on national security while working with cutting-edge technology.
  • 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 - 90000 £ 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.

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.

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.

Security clearance: You must hold the highest level of UK Government security clearance.

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.

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.

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 Engineer employer: Northrop Grumman Corporation

At Northrop Grumman UK, we offer a dynamic work environment where innovation meets purpose, allowing you to contribute to critical national security missions while enjoying a range of flexible working options. Our commitment to employee growth is evident through diverse career development opportunities, mentorship programmes, and a culture that values every voice, ensuring you can thrive both personally and professionally. With competitive benefits including private healthcare and performance bonuses, joining our team means being part of a mission-driven community dedicated to making a meaningful impact.
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Contact Detail:

Northrop Grumman Corporation Recruiting Team

talentenquiries@uk.ngc.com

StudySmarter Expert Advice 🤫

We think this is how you could land Big Data 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 engineering, especially those who have experience in defence and security sectors. Attend relevant meetups or online forums to gain insights and potentially get referrals.

✨Tip Number 3

Prepare to discuss your troubleshooting skills in detail. Be ready to share specific examples of complex technical issues you've resolved, particularly related to data pipelines and system integrations.

✨Tip Number 4

Understand the importance of GDPR compliance and security in big data systems. Be prepared to discuss how you would ensure these aspects in your work, as they are crucial for this role.

We think you need these skills to ace Big Data Engineer

Scripting and Automation
Troubleshooting Skills
Integration Testing
Linux Internals
Network Protocols (TCP/IP, OSI Model)
Data Pipeline Management
Scalable System Design
Hybrid Cloud Management (AWS)
Data Science Support
Big Data Platforms (Hive, Impala, Elasticsearch)
Business Intelligence Tools (Tableau, Kibana, PowerBI)
GDPR Compliance Knowledge
Collaboration and Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Big Data Engineer role. Focus on your expertise in scripting, troubleshooting, and data pipeline management, as these are key responsibilities for the position.

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 in big data systems and compliance with GDPR can contribute to their goals.

Highlight Relevant Projects: Include specific examples of projects where you designed scalable big data systems or worked with tools like NiFi and Airflow. This will demonstrate your hands-on experience and problem-solving abilities.

Showcase Soft Skills: In addition to technical skills, emphasise your communication and collaboration abilities. Northrop Grumman values teamwork, so mentioning experiences where you successfully worked in cross-functional teams can strengthen your application.

How to prepare for a job interview at Northrop Grumman Corporation

✨Showcase Your Technical Skills

Be prepared to discuss your experience with big data tools and technologies, such as Hive, Impala, and Elasticsearch. Highlight specific projects where you designed scalable systems or optimised data pipelines, as this will demonstrate your hands-on expertise.

✨Understand the Role's Requirements

Familiarise yourself with the key responsibilities of a Big Data Engineer, especially around scripting, troubleshooting, and integration testing. Be ready to explain how your background aligns with these tasks and how you can contribute to the team's success.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities. Prepare to discuss past experiences where you diagnosed and resolved complex technical issues, particularly in big data environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

✨Emphasise Collaboration and Communication

Since the role involves working closely with cross-functional teams, be sure to highlight your communication skills and ability to collaborate effectively. Share examples of how you've worked with others to achieve common goals, especially in high-pressure situations.

Big Data Engineer
Northrop Grumman Corporation
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