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For Companies At a Glance
- Tasks: Build and optimise scalable backend systems for major tech brands.
- Company: Renowned tech consultancy with a focus on data-driven solutions.
- Benefits: Competitive daily rate, hybrid/remote work options, and a collaborative culture.
- Why this job: Join a team of smart, low-ego professionals making an impact in tech.
- Qualifications: Strong backend development skills in Golang/Python and cloud experience.
- Other info: Opportunity to work on innovative projects with excellent career growth.
The predicted salary is between 36000 - 66000 £ per year.
Senior Data Platform Engineer
⚡ Industry: Tech Consultancy
🏢 Location: London (Hybrid or Remote within UK)
💸 Salary: £500-550 per day
👔 Interview Process: 2 stages
💻 Overview:
Join a highly regarded consultancy that designs and builds large-scale, data-driven platforms for major tech and media brands. The team blends engineering excellence with a lean, delivery-focused mindset — smart people, low ego, and a strong culture of autonomy.
🎯 What You’ll Do:
- Build and optimise backend systems that scale.
- Lead cloud-native infrastructure projects on Google Cloud using Terraform.
- Develop and maintain backend services in Golang and Python.
- Set up CI/CD pipelines, observability, and automation with GitLab / DataDog.
- Partner with data engineers to deliver high-performance ingestion and transformation pipelines.
🧠 What You’ll Bring:
- Strong background in backend development (Golang/Python).
- Solid experience across Google Cloud, Terraform, and CI/CD.
- Proven ability to design for performance, scalability, and reliability.
- Comfortable collaborating with multidisciplinary teams and clients.
💡 Bonus Points For:
- Exposure to Spark, Dataflow, or Looker.
- SRE or platform automation experience.
Data Platform Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Golang, Python, or cloud infrastructure. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Platform Engineers and practice your answers. Don’t forget to have a few questions ready for them too — it shows you're genuinely interested!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it makes it easier for us to spot your enthusiasm and fit for the role.
We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend development, especially in Golang and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background fits with our culture of autonomy and collaboration. Keep it concise but impactful!
Showcase Your Cloud Skills: Since we’re all about Google Cloud and Terraform, make sure to highlight any relevant experience you have. If you've led cloud-native infrastructure projects, let us know — we love seeing that kind of initiative!
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’s super easy — just a few clicks and you’re done!
How to prepare for a job interview at trg.recruitment
✨Know Your Tech Stack
Make sure you brush up on your backend development skills, especially in Golang and Python. Be ready to discuss your experience with Google Cloud and Terraform, as these are crucial for the role. Prepare examples of projects where you've built scalable systems or optimised backend services.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle technical challenges or case studies. Think about how you would approach building cloud-native infrastructure or setting up CI/CD pipelines. Demonstrating your thought process will show your ability to design for performance and reliability.
✨Emphasise Collaboration
This role involves working closely with data engineers and multidisciplinary teams. Share experiences where you've successfully collaborated on projects, highlighting your communication skills and how you’ve contributed to a team environment. This will resonate well with their culture of autonomy and low ego.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Consider asking about their approach to automation and observability, as these are key aspects of the job.