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For Companies At a Glance
- Tasks: Design and build robust data pipelines while solving real-world problems for clients.
- Company: Fast-growing AI and data engineering scale-up with a focus on mission-critical programmes.
- Benefits: Competitive salary, career progression, and the chance to work on impactful projects.
- Why this job: Make a real difference in high-stakes environments and gain unique engineering experience.
- Qualifications: Strong skills in Python, SQL, TypeScript, and data engineering principles.
- Other info: Join a culture that values accountability and engineering excellence.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About the Opportunity
Fortice are recruiting on behalf of a fast-growing AI and data engineering scale-up operating on complex, mission-critical programmes for government and enterprise clients. The business sits at the intersection of data engineering, advanced analytics, and applied AI, delivering solutions that support real operational decision-making in high-stakes environments. The company has recently entered its next phase of growth following a strategic acquisition by a global consulting and technology partner, bringing scale and long-term programme stability while retaining an engineering-led, delivery-focused culture.
The Role
We are hiring Forward Deployed Data Engineers across multiple levels (Junior through Senior Manager). This is a hands-on, client-embedded engineering role. You will work close to operational users, helping them solve messy, ambiguous problems by designing and building robust data pipelines, workflows, and decision-support tooling. You are not just “building data platforms” in isolation; you are deploying engineering capability directly into client environments and adapting solutions to real constraints.
What You’ll Do
- Buddy up with clients: Work directly alongside stakeholders to understand operational challenges and translate them into technical solutions.
- Design under ambiguity: Break down poorly defined problem spaces and design pragmatic, scalable architectures.
- Engineer data pipelines: Build and maintain ETL pipelines that support operational and analytical use cases.
- Develop workflows: Create decision-support tools and operational workflows that real users rely on.
- Apply AI where it counts: Collaborate on deploying AI and ML models that solve real problems, not experiments.
- Write production code: Deliver clean, reliable, maintainable software across the stack.
- Raise standards: Mentor peers, contribute to internal best practice, and help set the engineering bar.
- Build trust: Earn credibility with clients through delivery, judgment, and consistency.
What We’re Looking For
- Strong experience in Python, SQL, and TypeScript.
- Solid grounding in data engineering, ETL pipelines, and workflow orchestration.
- Experience with enterprise data platforms used in operational settings (Palantir experience is a strong plus, but not mandatory).
- Comfort operating in complex, high-pressure client environments.
- Interest in applied AI/machine learning with a practical mindset.
- Clear communicator who can bridge technical and non-technical audiences.
- Curious, adaptable, and delivery-focused.
Why This Role
- Work on mission-critical programmes with real operational impact.
- Be trusted to operate close to the problem, not shielded from it.
- Build rare experience as a forward-deployed engineer, not a back-office implementer.
- Access large-scale programmes and long-term career progression through a globally backed organisation.
- Join a culture that values engineering judgement, accountability, and hard work over hype.
Data Engineer (SC Cleared) employer: Fortice
Contact Detail:
Fortice Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (SC Cleared)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and TypeScript. Having tangible examples of your work can really impress potential employers and give you an edge.
✨Tip Number 3
Tailor your approach for each interview. Research the company and its projects, especially their use of AI and data engineering. This shows you’re genuinely interested and ready to tackle the challenges they face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our team directly.
We think you need these skills to ace Data Engineer (SC Cleared)
Some tips for your application 🫡
Show Your Passion for Data Engineering: When writing your application, let your enthusiasm for data engineering shine through! Share specific examples of projects you've worked on and how they relate to the role. We want to see your genuine interest in solving complex problems with data.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, SQL, and TypeScript, and mention any relevant projects that demonstrate your skills in building ETL pipelines and decision-support tools. We love seeing how you fit into our world!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your experiences and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen to join our team at StudySmarter!
How to prepare for a job interview at Fortice
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and TypeScript skills. Be ready to discuss how you've used these technologies in real-world scenarios, especially in building ETL pipelines and workflows. The more specific examples you can provide, the better!
✨Understand the Client's Needs
Since this role involves working closely with clients, take some time to research the company and its mission-critical programmes. Think about how you can translate operational challenges into technical solutions. Showing that you understand their environment will set you apart.
✨Embrace Ambiguity
Be prepared to tackle poorly defined problems. During the interview, demonstrate your ability to break down complex issues and design scalable architectures. Share examples of how you've navigated ambiguity in past projects to showcase your problem-solving skills.
✨Communicate Clearly
As a Data Engineer, you'll need to bridge the gap between technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact of your work. Clear communication will help build trust with both the interviewers and future clients.
