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For Companies At a Glance
- Tasks: Design and build data pipelines, workflows, and decision-support tools for real-world challenges.
- 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.
- Other info: Join a culture that values accountability and hard work, with opportunities for growth.
- Why this job: Make a real difference in high-stakes environments while developing your engineering skills.
- Qualifications: Strong experience in Python, SQL, TypeScript, and data engineering principles.
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) in London employer: Fortice
Contact Detail:
Fortice Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (SC Cleared) in London
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, SQL, and TypeScript skills. Practice coding challenges and be ready to discuss your past projects, especially those involving data pipelines and AI applications.
✨Tip Number 4
Don’t forget to showcase your soft skills! Being able to communicate complex ideas clearly is key, especially when working closely with clients. Be ready to demonstrate how you've built trust and delivered results in previous roles.
We think you need these skills to ace Data Engineer (SC Cleared) in London
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your experience with Python, SQL, and TypeScript in your application. We want to see how you've used these skills in real-world scenarios, especially in data engineering and ETL pipelines.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Data Engineer role. Mention any experience you have with enterprise data platforms or applied AI, as this will make you stand out to us.
Communicate Clearly: Since you'll be working closely with clients, it's crucial to demonstrate your ability to communicate complex ideas simply. Use clear language in your application to show that you can bridge the gap between technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you’ll be one step closer to joining our awesome team!
How to prepare for a job interview at Fortice
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and TypeScript. Brush up on your knowledge of ETL pipelines and workflow orchestration, as these are crucial for the role. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Client's Needs
Since this role involves working closely with clients, take time to research the company and its operational challenges. Think about how you can translate those challenges into technical solutions. Prepare examples of how you've done this in the past.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle ambiguous problems during the interview. Think through how you would break down complex issues and design scalable architectures. Practise explaining your thought process clearly, as communication is key in bridging technical and non-technical audiences.
✨Demonstrate Your Adaptability
Highlight experiences where you've had to adapt quickly in high-pressure environments. This role requires a curious and delivery-focused mindset, so share examples that showcase your ability to pivot and deliver results under tight constraints.