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

Apply Now

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

LA International Computer Consultants Ltd
Hull
1 week ago
Create job alert

Big Data Systems Engineer
Highest Level of Clearance
Full time onsite

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.

    Please send your latest CV


    Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 18 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.

    Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Related Jobs

View all jobs

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

Big Data Engineer

Big Data Engineer - R10188677

Senior Data Engineer

Senior Big Data Engineer

Data Engineer - Hybrid

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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.