At a Glance
- Tasks: Support and enhance a modern cloud-based data platform using AWS and Snowflake.
- Company: Join a dynamic, PE-backed media and analytics business undergoing transformation.
- Benefits: Competitive salary, hybrid work model, and opportunities for skill development.
- Other info: Ideal for curious Data Engineers eager to learn and grow in a modern environment.
- Why this job: Be part of a critical transformation and work with cutting-edge technologies.
- Qualifications: Strong SQL and Python skills; experience with AWS and Git is a plus.
The predicted salary is between 65000 - 80000 € per year.
London – Hybrid (2–3 days onsite, flexible)
The Opportunity
We’re working with a PE-backed, data-driven media and analytics business undergoing a major transformation as they bring their data platform in-house. This is a high-impact opportunity to join during a critical transition away from a third-party vendor, where you’ll play a key role in stabilising, maintaining, and evolving a modern cloud-based data platform. You’ll gain exposure to large-scale, real-world data, alongside emerging AI-driven initiatives, with the opportunity to grow your skills and ownership over time.
The Role
You’ll work hands‑on across an established AWS and Snowflake environment, supporting the existing platform while contributing to its ongoing improvement.
- Supporting and maintaining AWS infrastructure (S3, EC2, ECS, Lambda)
- Developing and optimising data pipelines using Python and SQL
- Building and improving data models and semantic layers
- Managing deployments through Git-based workflows
- Working within a Snowflake data platform
- Helping enable analytics and AI-driven use cases
About You
We’re looking for a hands‑on Data Engineer with a solid foundation who’s keen to grow in a modern data environment. You might already be working as a Data Engineer, or looking to step into a more impactful Data Engineer role. This would suit a Data Engineer who enjoys getting stuck into real-world problems, or a developing Data Engineer ready to take the next step. Ultimately, this is a role for a curious, motivated Data Engineer who wants to learn and grow.
Ideally, you’ll have:
- Strong SQL skills (data modelling, transformations)
- Experience with Python
- Exposure to cloud platforms (AWS preferred)
- Familiarity with Git/version control
- Some experience working with modern data platforms (e.g. Snowflake)
Nice to have
- Exposure to Terraform
- Interest in AI / LLM tools (e.g. Claude)
You don’t need to tick every box. What matters most is a strong foundation, curiosity, and a willingness to learn.
Why Apply?
- Join a business‑critical transformation programme
- Work with a modern stack: AWS, Snowflake, Python
- Opportunity to develop and grow into greater ownership
- Exposure to AI-led data initiatives
- Be part of a PE-backed business investing heavily in data and technology
Data Engineer | Learn Snowflake | £65k to £80k | Private Equity employer: Opus Recruitment Solutions
Join a dynamic, PE-backed media and analytics business in London, where you'll be at the forefront of a transformative journey to enhance their data platform. With a hybrid work model, a culture that fosters innovation, and ample opportunities for professional growth, this role offers you the chance to work with cutting-edge technologies like AWS and Snowflake while contributing to impactful AI-driven projects. Embrace a collaborative environment that values curiosity and continuous learning, making it an excellent place for Data Engineers eager to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | Learn Snowflake | £65k to £80k | Private Equity
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and Snowflake. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical scenarios. Practice coding challenges and be ready to discuss your past experiences with data pipelines and cloud platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for curious and motivated Data Engineers. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Engineer | Learn Snowflake | £65k to £80k | Private Equity
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your Python, AWS, and Snowflake experience, and don’t forget to mention any projects where you’ve used these technologies.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for data engineering. Share why you’re excited about this opportunity and how your background makes you a great fit for our team.
Showcase Your Curiosity:We love candidates who are eager to learn! In your application, mention any recent projects or courses you've taken related to AI or modern data platforms. This shows us you're not just looking for a job, but a chance to grow.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you into the process quickly!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS, and Snowflake. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Show Your Problem-Solving Skills
Prepare to talk about real-world problems you've tackled as a Data Engineer. Think of specific examples where you optimised data pipelines or improved data models, and be ready to explain your thought process.
✨Demonstrate Your Curiosity
This role values a willingness to learn, so don’t hesitate to express your interest in AI and emerging technologies. Share any personal projects or learning experiences that showcase your eagerness to grow in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data transformation journey and their use of cloud platforms. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
