Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead engineering teams and deliver high-impact data and AI solutions for clients.
- Company: Specialist data and AI consultancy with a global reach.
- Benefits: Competitive salary, bonus, and opportunities for career progression.
- Other info: Collaborative culture focused on knowledge sharing and professional growth.
- Why this job: Make a real impact in high-stakes environments while shaping innovative data solutions.
- Qualifications: 6+ years in software or data engineering with strong leadership skills.
The predicted salary is between 80000 - 85000 £ per year.
Our client is a specialist data and AI consultancy focused on delivering real-world impact through advanced data platforms and AI. Now part of a global consulting organisation, they partner with major public and private sector institutions to solve complex, mission-critical problems. This is a leadership role within delivery. You will own client relationships, lead engineering teams, and be accountable for delivering high-impact data and AI solutions in live operational environments. The role combines hands-on engineering with team leadership and client advisory, with a strong emphasis on ownership, pace, and outcomes.
What You’ll Be Doing
- Owning end-to-end delivery of complex client problems, from architecture through to deployment
- Leading and managing a team of engineers, setting direction, maintaining standards, and driving output
- Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL)
- Overseeing the development of user-facing applications and workflows using TypeScript and React
- Acting as the primary client interface, shaping requirements and translating technical solutions into business impact
- Embedding AI capabilities into operational systems using modern AI tooling
- Driving iterative delivery cycles, ensuring rapid build, demo, and refinement loops with stakeholders
- Feeding project learnings back into internal product development to create reusable assets and IP
- Leading from the front in a collaborative engineering culture, contributing to knowledge sharing and capability uplift
Ideal Background
- 6+ years’ experience in software engineering, data engineering, or full-stack development
- Strong proficiency across multiple languages, including Python and SQL, with exposure to TypeScript and/or React
- Deep understanding of data engineering principles, including ETL pipelines, distributed processing, and data architecture
- Experience working in client-facing or consulting environments, with ownership of stakeholder relationships
- Proven ability to lead and develop engineering teams in delivery-focused settings
- Exposure to Palantir (Foundry, Gotham, or similar) or comparable data platforms is strongly preferred
- Strong communication skills, with the ability to influence senior stakeholders and simplify complex topics
- High level of ownership, accountability, and comfort operating in ambiguous, fast-moving environments
What You’ll Receive
- Ownership of high-impact projects across defence, public sector, and critical infrastructure
- Leadership responsibility with clear progression into more senior roles
- Exposure to cutting-edge data platforms and AI technologies
- A high-performance, low-ego engineering culture with strong collaboration and visibility
- Opportunities to shape internal products and contribute to long-term IP development
- Competitive salary, bonus, and benefits package
Who Should Apply
This role suits experienced engineers who have moved beyond individual contribution and are now leading teams and owning delivery. It is a strong fit for individuals who combine technical depth with client-facing capability and want to operate in environments where their decisions directly impact outcomes. A senior, client-facing engineering leadership role combining hands-on delivery, team management, and ownership of complex data and AI programmes in high-stakes environments.
Managing Engineer employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Managing Engineer
✨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 role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to managing engineering teams and client relationships. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to 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 Managing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Managing Engineer role. Highlight your leadership experience, technical expertise, and any client-facing roles you've had. We want to see how you can own delivery and lead teams!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills: Since this role involves hands-on engineering, make sure to highlight your proficiency in Python, SQL, and any experience with TypeScript or React. We love seeing examples of your work, so feel free to include links to projects or GitHub repositories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and any experience with TypeScript or React. Brush up on your understanding of data engineering principles and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing client relationships. Think about specific situations where you’ve driven outcomes, set direction for your team, or influenced stakeholders. This will demonstrate your capability to own delivery and lead effectively.
✨Understand the Client's Needs
Research the company and its clients to understand their mission-critical problems. Be prepared to discuss how you would approach solving these issues using data and AI solutions. This shows that you’re not just technically skilled but also client-focused.
✨Emphasise Collaboration and Culture Fit
Since the role involves working in a collaborative engineering culture, be ready to talk about how you contribute to knowledge sharing and team uplift. Share experiences where you’ve fostered collaboration and how you align with a low-ego, high-performance environment.