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For Companies At a Glance
- Tasks: Design and deploy AI-driven solutions to solve complex business challenges.
- Company: Fast-growing startup focused on technology and social impact.
- Benefits: Competitive salary, stock options, and a vibrant office culture.
- Why this job: Join a mission-driven team transforming industries with cutting-edge technology.
- Qualifications: Experience in data engineering and familiarity with tools like PySpark.
- Other info: Permanent role for UK residents only, with excellent career growth opportunities.
The predicted salary is between 45000 - 75000 £ per year.
Job Description
Data Engineer – Up to £75,000 – (London)
Are you a data engineer who thrives at the intersection of technology and impact? A fast-growing startup is seeking a Data Engineer to join their elite team. This is a unique opportunity to work directly with global industrial leaders, embedding powerful AI-driven solutions into their operations and driving real-world transformation.
As a Data Engineer, you'll be the bridge between product and customer – deploying scalable, tailored solutions that solve complex business challenges. You'll work hands-on with distributed data technologies and generative AI platforms to deliver measurable outcomes.
If you're passionate about solving real-world problems with technology, comfortable working in fast-paced environments, and excited by the idea of being customer-facing, this is the role for you.
Key Responsibilities:
- Adapt and deploy a cutting-edge platform to meet customer needs
- Design scalable generative AI workflows (e.g., using Palantir)
- Execute complex data integrations using PySpark and similar tools
- Collaborate directly with clients to understand their priorities and deliver impact
Why Join?
- Be part of a mission-driven startup redefining how industrial companies operate
- Work alongside seasoned tech and business leaders in a high-performance team
- Enjoy a vibrant office in London and a culture that values sustainability and social impact
- Receive a competitive compensation package, including meaningful stock options
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Contact me:
Data Engineer - London employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially their use of AI and data technologies. We want you to be able to showcase your knowledge and passion for solving real-world problems during the chat.
✨Tip Number 3
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving PySpark or generative AI workflows. We love seeing practical examples of your work that demonstrate your ability to tackle complex challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see how you can contribute to our mission-driven startup and help redefine how industrial companies operate.
We think you need these skills to ace Data Engineer - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your experience with data technologies and any customer-facing projects you've worked on. We want to see how you can bridge the gap between product and customer!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about solving real-world problems with technology. Share specific examples of how you've made an impact in previous roles, especially in fast-paced environments.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Whether it's PySpark, generative AI, or any other relevant tools, we want to know what you bring to the table. Be specific about your experience and how it relates to the responsibilities outlined in the job description.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PySpark and generative AI platforms. Brush up on your knowledge of distributed data technologies and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business challenges with data solutions. Think about specific instances where your work made a measurable impact, as this will resonate well with the interviewers looking for someone who can deliver results.
✨Understand the Company’s Mission
Research the startup's mission and values. Be ready to discuss how your personal values align with theirs, especially regarding sustainability and social impact. This shows that you’re not just interested in the role, but also in contributing to their overall goals.
✨Practice Client Interaction Scenarios
Since the role involves direct collaboration with clients, practice how you would approach understanding their needs. Role-play potential scenarios where you might need to adapt solutions based on client feedback, demonstrating your customer-facing skills.
