Data Engineer - Generative AI & Secure Data Platforms
Data Engineer - Generative AI & Secure Data Platforms

Data Engineer - Generative AI & Secure Data Platforms

England Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain secure data pipelines for innovative AI projects.
  • Company: Join Modis, a leader in connecting talent with top tech opportunities globally.
  • Benefits: Enjoy hybrid work, competitive salary, paid overtime, bonuses, and great perks.
  • Why this job: Be part of a mission-driven team shaping the future of secure AI technology.
  • Qualifications: Experience with SQL, NoSQL, Python, and familiarity with data governance required.
  • Other info: British citizens only; SC clearance needed for this impactful role.

The predicted salary is between 43200 - 72000 £ per year.

Data Engineer – Generative AI & Secure Data Platforms

Location: South West or South East England (Hybrid – 2-3 days onsite)

Salary: Up to £60k + Paid Overtime + Bonus + Benefits

Eligibility: British Citizens Only | SC Clearance Required

Imagine joining a team where your data engineering skills help shape the future of secure AI innovation. This isn\’t just about building pipelines—it\’s about enabling intelligent systems that support national resilience and technological advancement.

You will be part of a growing international team working on next-gen data platforms, focusing on generative AI, NLP, and secure data exchange. Your work will directly support internal customers across a high-trust, high-impact organization.

What You\’ll Be Doing

  1. Evaluate, design, and maintain resilient, secure data pipelines
  2. Collaborate with internal teams to optimize and safeguard datasets
  3. Ensure compliance with strict data governance and quality standards
  4. Support the technology roadmap with insights into emerging tools and platforms
  5. Work across SQL, NoSQL, Python, ETL, and big data environments
  6. Contribute to projects involving Generative AI, NLP, and OCR

What You\’ll Bring

  • Experience with SQL (e.g., MS SQL, Oracle) and NoSQL (e.g., MongoDB, Neo4J)
  • Strong skills in Python, ETL, API integration, and data processing
  • Familiarity with Hadoop, Docker, and containerization technologies
  • Knowledge of Generative AI, Natural Language Processing, or OCR is a plus
  • Understanding of data governance and compliance in sensitive environments
  • Eligibility for SC clearance — must be a British citizen
  • No dual nationals considered for this role

This isn\’t just a job—it\’s a chance to engineer secure data solutions that support national resilience and innovation.

Modis International Ltd acts as an employment agency for permanent recruitment and a supply of temporary workers in the UK. Modis Europe Ltd provides various international solutions connecting clients to top talent worldwide. For positions in Switzerland, Modis Europe Ltd collaborates with its licensed Swiss partner Accurity GmbH to ensure compliance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying, your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement, explaining how we use your data, is available on the Modis website.

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Data Engineer - Generative AI & Secure Data Platforms employer: Akkodis

At Modis International Ltd, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid working model allows for flexibility while you contribute to cutting-edge projects in generative AI and secure data platforms, all within a supportive environment that prioritises employee growth and development. With competitive salaries, paid overtime, and a commitment to national resilience, joining our team means being part of something meaningful and impactful.
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Contact Detail:

Akkodis Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - Generative AI & Secure Data Platforms

✨Tip Number 1

Familiarise yourself with the latest trends in generative AI and secure data platforms. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the technology.

✨Tip Number 2

Network with professionals in the data engineering field, especially those working with generative AI and secure data. Attend relevant meetups or webinars to make connections that could lead to referrals or insider information about the role.

✨Tip Number 3

Brush up on your SQL and NoSQL skills, as well as Python programming. Consider working on personal projects or contributing to open-source projects that showcase your abilities in these areas, which can be a great talking point in interviews.

✨Tip Number 4

Prepare to discuss your understanding of data governance and compliance, especially in sensitive environments. Being able to articulate your knowledge in this area will set you apart from other candidates and show that you are ready for the responsibilities of the role.

We think you need these skills to ace Data Engineer - Generative AI & Secure Data Platforms

SQL (e.g., MS SQL, Oracle)
NoSQL (e.g., MongoDB, Neo4J)
Python
ETL
API Integration
Data Processing
Hadoop
Docker
Containerization Technologies
Generative AI
Natural Language Processing (NLP)
Optical Character Recognition (OCR)
Data Governance
Compliance in Sensitive Environments
Collaboration Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, NoSQL, and Python. Emphasise any projects involving Generative AI or NLP to align with the job description.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for secure data solutions and how your skills can contribute to national resilience. Mention specific technologies you’ve worked with, such as ETL processes and containerization.

Highlight Compliance Knowledge: Since the role requires understanding data governance and compliance, include any relevant experience or training you have in these areas. This will demonstrate your capability to work in sensitive environments.

Showcase Team Collaboration: In your application, mention instances where you collaborated with internal teams to optimise datasets or improve data quality. This aligns with the job's emphasis on teamwork and collaboration.

How to prepare for a job interview at Akkodis

✨Showcase Your Technical Skills

Be prepared to discuss your experience with SQL, NoSQL, and Python in detail. Highlight specific projects where you've built data pipelines or worked with ETL processes, as this will demonstrate your hands-on expertise.

✨Understand Generative AI and NLP

Since the role involves generative AI and natural language processing, brush up on these topics. Be ready to explain how you've applied these technologies in past projects or how you would approach them in this role.

✨Emphasise Data Governance Knowledge

Given the importance of compliance in this position, be sure to discuss your understanding of data governance and quality standards. Share examples of how you've ensured data integrity and security in previous roles.

✨Prepare Questions for the Interviewers

Interviews are a two-way street. Prepare insightful questions about the company's data platforms, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Data Engineer - Generative AI & Secure Data Platforms
Akkodis
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  • Data Engineer - Generative AI & Secure Data Platforms

    England
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-09-02

  • A

    Akkodis

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