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For Companies At a Glance
- Tasks: Lead and design innovative data solutions using cutting-edge AI technologies.
- Company: Fast-growing AI consultancy with a global tech leader backing.
- Benefits: Competitive salary, hybrid working, and opportunities for career advancement.
- Why this job: Make a real-world impact on critical projects across various sectors.
- Qualifications: 5+ years in data engineering with strong Python, SQL, and TypeScript skills.
- Other info: Collaborative culture that values curiosity and bold thinking.
The predicted salary is between 47000 - 83000 £ per year.
A leading AI and technology consultancy is looking for Senior Data Engineers to join their fast-growing team. This is a unique opportunity to apply your technical expertise in AI, advanced analytics, and data engineering while shaping how organisations make decisions at scale.
About the Role
This is a hands-on, client-facing position where you'll lead technical delivery and act as a trusted advisor. You'll design and implement innovative solutions, build complex data pipelines, and integrate AI models into operational workflows across industries. The role offers a rare chance to combine software engineering mastery with strategic problem-solving, directly impacting government, defence, healthcare, and commercial clients.
What You'll Do
- Lead and architect scalable solutions using cutting-edge data platforms.
- Engineer enterprise-level data pipelines and optimise ETL processes.
- Develop workflows and decision-support tools that transform operations.
- Integrate AI and machine learning into client systems, ensuring measurable outcomes.
- Partner with senior stakeholders to translate business needs into technical solutions.
- Set engineering standards, champion best practices, and drive continuous improvement.
- Mentor junior engineers and contribute to a culture of innovation and collaboration.
What We're Looking For
- 5+ years in software or data engineering, with strong Python, SQL, and TypeScript skills.
- Experience with enterprise data platforms, ideally Palantir technologies (Foundry, Gotham, or similar).
- Advanced knowledge of data engineering, ETL pipelines, and workflow design at scale.
- Proven track record of leading projects and mentoring teams in client-facing environments.
- Passion for AI, machine learning, and translating emerging technologies into real-world impact.
- Exceptional problem-solving, communication, and stakeholder management skills.
- Curiosity, adaptability, and a drive to make a tangible difference.
Why You'll Join
- Work at a fast-growing AI consultancy backed by a global technology leader.
- Lead mission-critical projects that influence government, healthcare, defence, and commercial sectors.
- Gain hands-on experience with advanced analytics, AI, and enterprise data platforms.
- Build your career story as a senior leader in data-driven transformation.
- Thrive in a collaborative, innovative culture that values curiosity and bold thinking.
If you're ready to engineer the future of AI-powered decision-making and make a real-world impact, we want to hear from you.
Senior Data Engineer employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data 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 field. 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 involving AI and data engineering. 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 technical questions and scenarios related to data engineering. Don’t forget to brush up on your Python, SQL, and TypeScript skills. We want you to feel confident and ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you on board to help shape the future of AI-powered decision-making!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in Python, SQL, and TypeScript, and don’t forget to mention any experience with enterprise data platforms like Palantir.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data engineering. Share specific examples of how you've led projects or mentored teams, and show us how you can make a real impact.
Showcase Your Problem-Solving Skills: In your application, give us a taste of your problem-solving abilities. Describe challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think on their feet and come up with innovative solutions!
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 to join our team!
How to prepare for a job interview at Anson McCade
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and TypeScript. Brush up on your experience with enterprise data platforms, especially Palantir technologies. Be ready to discuss specific projects where you've led technical delivery or optimised ETL processes.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your strategic problem-solving abilities. Think of situations where you’ve integrated AI or machine learning into workflows, and be ready to explain the measurable outcomes. This will demonstrate your impact on previous projects.
✨Engage with Stakeholders
Since this role involves partnering with senior stakeholders, practice how you would translate business needs into technical solutions. Prepare to discuss how you’ve managed stakeholder expectations and fostered collaboration in past roles.
✨Emphasise Mentorship and Team Culture
Highlight your experience mentoring junior engineers and contributing to a positive team culture. Share specific instances where you’ve championed best practices or driven continuous improvement within your team, as this aligns with the company’s values.
