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- Tasks: Create and maintain systems for data science, AI, and machine learning workloads.
- Company: Join a leading defence and security company collaborating with governments worldwide.
- Benefits: Enjoy a competitive salary, flexible hours, private healthcare, and career development opportunities.
- Why this job: Be part of innovative projects that ensure international security while working in a collaborative environment.
- Qualifications: 5+ years of Big Data experience, excellent communication skills, and current eDV or UKIC security vetting required.
- Other info: Opportunity to work with cutting-edge tools like Jupyter and BI tools for actionable insights.
The predicted salary is between 43200 - 72000 £ per year.
Company TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain.
As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client’s data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration.
Why Work as a Big Data Engineer with Our Client?
- Competitive salary up to £115,000
- Flexible working hours
- Private healthcare
- Holiday buy and sell
- Career development
- Performance bonus
What is Expected of you as a Big Data Engineer with Our Client?
- You will need to hold current eDV or UKIC security vetting
- A minimum of 5 years of experience of working with Big Data as a Data Engineer
- Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of varying technical literacy
- The ability to create scalable big data pipelines
- A strong background in automation and scripting to develop and maintain scripts to streamline data workflows.
Responsibilities of a Big Data Engineer with Our Client
- The ability to troubleshoot big data environment and optimize pipelines
- Conduct end-to-end testing to ensure seamless tool and system integrations across the data stack.
- Design and support secure, scalable systems using network protocols (TCP/IP, OSI)
- Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK.
- Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets.
If you are interested in this Big Data Engineer role and would like to learn more about it or other Data opportunities, please contact Stuart at TEC Partners today.
Big Data Engineer employer: TEC Partners - Technical Recruitment Specialists
Contact Detail:
TEC Partners - Technical Recruitment Specialists Recruiting Team
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 Jupyter, SpaCy, and Tableau. Being able to discuss your experience with these tools during an interview will demonstrate your readiness for the role.
✨Tip Number 2
Highlight your collaborative skills by preparing examples of past projects where you worked with cross-functional teams. This will show that you can effectively communicate complex technical details to non-technical stakeholders.
✨Tip Number 3
Since security vetting is a requirement, ensure you understand the process and be ready to discuss your eligibility. This will help reassure the employer of your commitment to maintaining security standards.
✨Tip Number 4
Prepare to discuss your experience with big data pipelines and automation. Be ready to share specific examples of how you've optimised workflows or troubleshot issues in previous roles, as this is crucial for the position.
We think you need these skills to ace Big Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Big Data Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as Jupyter, SpaCy, and BI tools like Tableau.
Tailor Your CV: Customise your CV to highlight relevant experience in big data engineering. Emphasise your skills in creating scalable data pipelines, automation, and scripting, as well as your ability to communicate complex technical details effectively.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that demonstrate your expertise in big data and your collaborative nature, which is crucial for this position.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are essential traits for a Big Data Engineer.
How to prepare for a job interview at TEC Partners - Technical Recruitment Specialists
✨Understand the Company’s Mission
Before your interview, make sure you research the defence and security company thoroughly. Understand their mission, values, and recent projects. This will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data technologies and tools. Highlight specific projects where you've created scalable data pipelines or optimised existing ones. Use concrete examples to illustrate your expertise in automation and scripting.
✨Emphasise Collaboration
Since the role requires working closely with different departments, be ready to share examples of how you've successfully collaborated in the past. Discuss how you’ve communicated complex technical details to non-technical team members, showcasing your excellent communication skills.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting abilities in a big data environment. Prepare to discuss specific challenges you've faced and how you resolved them. This will demonstrate your critical thinking and problem-solving skills, which are crucial for this role.
