Lead Big Data Engineer - Contract

Lead Big Data Engineer - Contract

London Freelance 60000 - 84000 £ / 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 workloads.
  • Company: Join Northrop Grumman UK, a leader in digital transformation for Defence and security.
  • Benefits: Enjoy flexible working schedules, healthcare, dental, life assurance, and career development opportunities.
  • Why this job: Work on exciting challenges that shape the future of national security with a diverse team.
  • Qualifications: Experience in scripting, troubleshooting, and big data tools like Python, NiFi, and AWS required.
  • Other info: On-site presence needed 4 days a week; relocation assistance may be available.

The predicted salary is between 60000 - 84000 £ per year.

Your Opportunity to Define Possible. Our Opportunity to Deliver the Nation’s Security. Together.

Role clearance type: Must already hold highest level of government clearance.

Location: London

About Your Opportunity: 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. On-site presence required a minimum of 4 days per week.

Your Benefits:

  • Flexible working schedules - we offer flexible and hybrid working arrangements. Talk to us at the application stage about any scheduling preferences you may have.
  • Flexible Benefits Package – choose which NGUKL benefits you want to satisfy your personal needs. Core Benefits provided for you are Healthcare, Dental, Life Assurance and Pension. Benefits you can flex include Critical Illness Cover, Health Cash Plan, and Health Assessments.
  • Employee Incentive Programme – exceptional performance is recognized through our annual incentive programme which is awarded to top performers who excel.
  • Career Development – opportunity for ongoing professional development and career growth opportunities.

Your 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.

Your Experience:

  • Proven experience in scripting languages such as Python, Bash, or similar.
  • 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 Experience:

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

Your Future Team: The teams in this space work on some of the toughest challenges that are key to our client’s success, as such they carry a heavy load and require the ability to be able to dip in and share the workload. Success in this area requires flexibility in tasking, adapting to the problem at hand and picking up the skills along the way. This work is predominantly on client site and will vary between integrating with development and test teams, as well as taking on standalone tasks when needed. We believe that creating a team that values diversity and fosters inclusion is essential to great performance. We know the best ideas come from diversity of thought, background, perspective, culture, gender, race, age and many other elements. We welcome candidates from all backgrounds and particularly from communities currently under-represented within our industry. We treat everyone with respect and foster safe and inclusive environments.

About Our Responsibilities: Our customers operate in unique environments which offer new and exciting challenges every day, cultivating a place where you can learn and thrive, working alongside the best minds in industry. We’ll give you space to develop your career, where your ideas can shape the future of our dynamic business. We promote collaboration to achieve more than we could imagine, together. And within a respectful and inspirational environment, we value what you say and do.

How to Apply: Interested in our opportunity? Yes – then simply submit your application online. Your application will be reviewed by one of our expert recruiters who’ll then respond advising you of the outcome and next steps for successful candidates. Possibly, I’d like to find out more – then connect direct with, where one of our recruitment business partners will be happy to support you with any enquiries. Background checks and potentially security clearance form part of the recruitment process, our team will inform you of the procedures when required.

Northrop Grumman UK: Work with a global brand that makes a real contribution to our nation’s security and future. At Northrop Grumman UK, the brightest minds come together to push the boundaries and Define Possible. As leaders in the digital transformation of Aerospace, Defence and Intelligence we are providing ground-breaking outcomes for our customers.

UK Cyber & Intelligence Business: 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.

Lead Big Data Engineer - Contract employer: Northrop Grumman Corp. (AU)

At Northrop Grumman UK, we pride ourselves on being an exceptional employer, offering a dynamic work environment in London where innovation meets security. Our commitment to employee growth is reflected in our flexible benefits package, career development opportunities, and a culture that values diversity and collaboration. Join us to work alongside industry leaders on meaningful projects that contribute to national security while enjoying a supportive and inclusive workplace.
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Contact Detail:

Northrop Grumman Corp. (AU) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Big Data Engineer - Contract

✨Tip Number 1

Make sure you have the highest level of government clearance before applying. This is a crucial requirement for the role, and having it in place will significantly enhance your chances of being considered.

✨Tip Number 2

Familiarise yourself with the specific big data tools mentioned in the job description, such as NiFi, Airflow, Hive, and Elasticsearch. Being able to demonstrate hands-on experience with these tools during discussions can set you apart from other candidates.

✨Tip Number 3

Highlight your experience with hybrid cloud environments, particularly AWS. Since the role involves managing both on-premise and cloud resources, showcasing your expertise in this area will be beneficial.

✨Tip Number 4

Prepare to discuss your troubleshooting skills and provide examples of complex technical issues you've resolved in the past. This will demonstrate your problem-solving abilities and readiness for the challenges of the role.

We think you need these skills to ace Lead Big Data Engineer - Contract

Scripting Languages (Python, Bash)
Troubleshooting Skills
Integration Testing
Linux Internals
Network Protocols (TCP/IP, OSI Model)
Data Pipeline Management (NiFi, Airflow)
Scalable System Design
Hybrid Cloud Management (AWS)
Data Science Support (Jupyter, Spacy, Transformers, NLTK)
Big Data Platforms (Hive, Impala, Elasticsearch)
Business Intelligence Tools (Tableau, Kibana, PowerBI)
GDPR Compliance Knowledge
Excellent Communication Skills
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in big data engineering, scripting languages like Python or Bash, and any specific tools mentioned in the job description, such as NiFi, Airflow, or AWS.

Craft a Strong Cover Letter: Write a cover letter that addresses the key responsibilities and qualifications outlined in the job description. Emphasise your experience with GDPR compliance, troubleshooting skills, and your ability to work in a team-oriented environment.

Showcase Relevant Projects: Include examples of past projects where you designed scalable big data systems or worked with data pipelines. Highlight your role in these projects and the technologies you used to demonstrate your hands-on experience.

Highlight Soft Skills: In addition to technical skills, mention your communication and collaboration abilities. The job requires working closely with cross-functional teams, so showcasing your interpersonal skills can set you apart from other candidates.

How to prepare for a job interview at Northrop Grumman Corp. (AU)

✨Showcase Your Technical Skills

Be prepared to discuss your experience with scripting languages like Python and Bash. Highlight specific projects where you've implemented big data systems or automated data processes, as this will demonstrate your hands-on expertise.

✨Understand the Company’s Mission

Research Northrop Grumman's role in national security and their approach to digital transformation. Being able to articulate how your skills align with their mission will show your genuine interest in the position.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities, especially related to troubleshooting and integration testing. Prepare examples of past challenges you've faced and how you resolved them, particularly in big data environments.

✨Emphasise Collaboration and Communication

Since the role involves working closely with cross-functional teams, be ready to discuss your experience in collaborative settings. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders.

Lead Big Data Engineer - Contract
Northrop Grumman Corp. (AU)
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