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- Tasks: Design and build innovative data solutions using cutting-edge technologies.
- Company: Join a high-growth AI consultancy with global backing.
- Benefits: Competitive salary, flexible working, and career progression opportunities.
- Why this job: Make a real impact on transformative projects across various industries.
- Qualifications: Experience in full stack engineering, Python, SQL, and a passion for AI.
- Other info: Collaborative culture that values curiosity and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Join a high-growth technology and AI consultancy recognised for delivering exceptional outcomes across Defence, Healthcare, Finance, and Commercial sectors. Our client has built a reputation for solving some of the most complex data challenges in government and enterprise, earning industry recognition for innovation, engineering excellence, and strategic impact.
As a Full Stack Data Engineer, you will join a consultancy where AI meets deep engineering capability. You will collaborate closely with clients and internal teams to design, build, and deploy end-to-end solutions. Whether operating as a Junior Full Stack Data Engineer or at Senior Manager level, you will play a key role in shaping technical delivery and trusted client relationships.
Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working and a collaborative, curiosity-led culture underpin everything they do.
You will have the opportunity to:
- Work alongside industry-leading engineers, data scientists, and consultants.
- Deliver AI-enabled, data-driven solutions across public sector, healthcare, finance, and commercial industries.
- Design and build end-to-end platforms using Palantir and modern data technologies.
- Apply advanced analytics and machine learning to real-world challenges.
- Influence technical direction and best practice across complex programmes.
- Mentor and develop junior engineers while contributing to a culture of engineering excellence.
Key Responsibilities:
- Break down complex client problem sets and design innovative solutions using Palantir technologies.
- Build and maintain robust data pipelines and ETL processes.
- Develop operational workflows and decision-support tools that transform client operations.
- Collaborate with colleagues to implement AI and machine learning models.
- Apply strong software engineering principles to deliver scalable, reliable platforms.
- Mentor peers and support the development of junior Full Stack Data Engineers.
- Build trusted, long-term relationships with clients as a technical advisor.
Key Requirements:
- Proven experience as a Full Stack Data Engineer or similar engineering role.
- Strong skills in Python, SQL, and TypeScript.
- Experience with Palantir Foundry, Gotham, or comparable data platforms (preferred).
- Solid understanding of data engineering, ETL pipelines, and workflow orchestration.
- Interest in AI, machine learning, and emerging technologies.
- Strong communication skills and a collaborative, consulting mindset.
- Curiosity, adaptability, and a desire to deliver real-world impact.
Why Join:
- Join a fast-growing AI consultancy with the backing and scale of a global organisation.
- Work on high-impact projects across public sector, finance, healthcare, and commercial industries.
- Gain deep exposure to Palantir, AI, and advanced analytics.
- Accelerate your career in a supportive, high-performance environment.
- Be part of a culture that values innovation, collaboration, and bold ambition.
Full Stack Data Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Data Engineer
✨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 works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, SQL, and Palantir technologies. Having tangible examples of your work can really impress potential employers and set you apart from the competition.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Don’t forget to brush up on your soft skills too; being able to communicate your thought process is just as important as solving the problem!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Full Stack Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Full Stack Data Engineer role. Highlight your experience with Python, SQL, and any relevant projects you've worked on that showcase your skills in data engineering and AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with the company's mission. Don't forget to mention your interest in working with Palantir technologies!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. This consultancy values innovative solutions, so share specific instances where you designed or implemented effective data-driven strategies.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Anson McCade
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and TypeScript. Brush up on your experience with Palantir Foundry or similar platforms, as this will likely come up during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you broke down problems and designed innovative solutions, as this aligns perfectly with what the company is looking for.
✨Emphasise Collaboration
Since the role involves working closely with clients and teams, be ready to share experiences that highlight your collaborative mindset. Talk about how you’ve built trusted relationships and mentored others in previous roles.
✨Express Your Curiosity
Demonstrate your interest in AI, machine learning, and emerging technologies. Share any personal projects or learning experiences that showcase your passion for these areas, as it reflects the culture of innovation they value.
