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For Companies At a Glance
- Tasks: Build and maintain data pipelines for innovative AI projects.
- Company: Join a secure, high-tech organisation focused on impactful Generative AI solutions.
- Benefits: Enjoy hybrid work, flexi-leave, and a competitive salary with bonuses.
- Why this job: Shape the future of AI while collaborating in a learning-focused environment.
- Qualifications: Experience with SQL, Python, and a passion for AI technologies required.
- Other info: British citizens only; BPSS clearance needed.
The predicted salary is between 33000 - 77000 £ per year.
Job Description
🚀 Data Engineer – Generative AI Projects
📍 Hybrid | 2-3 Days On-Site | Up to £55,000 + Bonus + Package
🔒 British Citizens Only | BPSS Clearance Required
We're hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI and NLP tools in a secure, high-tech organisation working on projects that matter.
If you're keen to work on innovative internal use-cases – from AI assistants to intelligent search and document automation – this is the perfect next step.
🔧 What You'll Be Doing
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Building and maintaining data pipelines across structured & unstructured sources
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Collaborating with internal teams to support Generative AI and NLP projects
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Ensuring data is secure, compliant, high-quality, and easy to access
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Bringing your ideas to the table as we explore new tools and technologies
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Supporting internal customers across multiple teams and functions
🧠 What You'll Bring
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Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J)
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Python skills for scripting and automation
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ETL and data exchange experience (e.g. APIs, ESB tools)
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Knowledge of Big Data (e.g. Hadoop)
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Curiosity about AI, particularly NLP, OCR or Generative AI
🌟 Bonus Points For
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Docker/containerisation experience
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Any previous work in industrial, aerospace or secure environments
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Exposure to tools like LLMs, OCR engines, or knowledge graphs
💰 What's On Offer
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Salary up to £55,000 + bonus up to £2,500
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Up to 14% pension contribution
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15 days flexi-leave + enhanced parental leave
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Paid overtime opportunities
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Free parking, subsidised meals, excellent on-site facilities
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Hybrid working (2-3 days on-site per week)
This is a fantastic opportunity to apply your data engineering skills to something bigger than business-as-usual. You'll be joining a team that values learning, experimentation, and making a real impact.
📩 Apply now or reach out for a confidential chat
Data Engineer - AI Projects employer: Henderson Scott
Contact Detail:
Henderson Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - AI Projects
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and NLP. Being able to discuss recent advancements or tools during your interview will show your genuine interest and passion for the field.
✨Tip Number 2
Network with professionals in the data engineering and AI sectors. Attend relevant meetups or webinars to connect with others who might provide insights or even referrals for the position.
✨Tip Number 3
Prepare to demonstrate your technical skills in SQL, NoSQL, and Python during the interview. Consider working on a small project or case study that showcases your ability to build and maintain data pipelines.
✨Tip Number 4
Research StudySmarter's current projects and values. Understanding our mission and how you can contribute will help you articulate why you're a great fit for the team during your discussions.
We think you need these skills to ace Data Engineer - AI Projects
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with SQL, NoSQL databases, and Python. Emphasise any projects related to data pipelines, automation, or AI to align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and AI. Mention specific projects or experiences that demonstrate your skills in ETL processes and collaboration with teams on AI initiatives.
Highlight Relevant Skills: In your application, clearly list your technical skills such as experience with Docker, Big Data technologies, and any exposure to NLP or Generative AI tools. This will help you stand out as a strong candidate.
Show Enthusiasm for Innovation: Express your curiosity about new tools and technologies in your application. Companies like this one value candidates who are eager to learn and contribute innovative ideas to their projects.
How to prepare for a job interview at Henderson Scott
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and NoSQL databases, as well as your Python scripting abilities. Highlight specific projects where you've built or maintained data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Curiosity About AI
Since the role focuses on Generative AI and NLP, express your enthusiasm for these technologies. Share any personal projects or research you've done related to AI, and be ready to discuss how you see the future of AI impacting data engineering.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. For example, you might be asked how you would handle a data quality issue or how you would ensure compliance in a data pipeline. Think through your past experiences and be ready to provide concrete examples.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the company's projects and culture. Inquire about the tools and technologies they use for data engineering and how they support innovation within the team. This shows your genuine interest in the role and the organisation.
