At a Glance
- Tasks: Own and shape a cutting-edge data platform, building scalable systems for global brands.
- Company: Fast-scaling SaaS scale-up redefining business processes with AI/ML technology.
- Benefits: Competitive salary, equity options, remote-first culture, and clear career growth opportunities.
- Other info: Join a dynamic team with a greenfield project and significant investment backing.
- Why this job: Make a direct impact on products used by over 1,000 brands worldwide.
- Qualifications: Experience in data engineering, Python, FastAPI, and cloud platforms like GCP.
The predicted salary is between 72000 - 84000 £ per year.
My client are a fast-scaling SaaS scale-up that is redefining how global powerhouses operate. Their ML/AI-enabled platform supports over 1,000+ brands worldwide, streamlining business processes like never seen before. With 10× revenue growth in the past year and aggressive expansion across the UK, US, and EU, the company is scaling at pace. Data is the backbone: from APIs and pipelines to governance and observability, their data platform directly powers customer-facing products and AI-driven insights. They’re now hiring a Senior Data Engineer to own and shape this platform, building scalable, production-grade systems that become the foundation for global brands.
Why join?
- Greenfield impact – inherit a live but early platform, define best practice across structure, testing, observability, and governance.
- Direct product impact – your APIs, pipelines, and orchestration power the platform that 1,000+ brands rely on every day.
- AI at the core – work on infrastructure that enables machine learning and intelligent decision-making across commerce.
- $50m investment – fueled expansion and innovation, backed by world-class investors.
- Career trajectory – Clear scope to grow into leadership as the data team scales.
- Remote-first culture – flexibility to work from anywhere.
What you’ll be doing:
API strategy
Senior Data Engineer employer: Identify Solutions
Join a dynamic and innovative Series C scale-up that is at the forefront of transforming global business operations through cutting-edge ML/AI technology. With a remote-first culture, you will enjoy the flexibility to work from anywhere while making a direct impact on a platform that supports over 1,000 brands worldwide. The company offers exceptional career growth opportunities as it expands rapidly, backed by significant investment and a commitment to fostering a collaborative and forward-thinking work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience and how it relates to the role.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from the interview to show your genuine interest.
✨Tip Number 4
Apply through our website for the best chance at landing that Senior Data Engineer role. We’re always looking for passionate individuals who want to make an impact, so don’t hesitate to showcase your skills and enthusiasm!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, FastAPI, and GCP, and don’t forget to showcase any relevant projects that demonstrate your skills in building scalable systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background aligns with the company’s mission. Be sure to mention your passion for data and how you can contribute to their growth.
Showcase Your Impact:When detailing your past experiences, focus on the impact you’ve made. Use metrics where possible to illustrate how your work has improved processes or contributed to project success. This will help us see the value you can bring to our team.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Identify Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and GCP. Brush up on your knowledge of APIs and data pipelines, as these will be crucial in the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. This is especially important for a Senior Data Engineer position where you'll need to demonstrate your ability to build scalable systems and handle complex data issues.
✨Understand the Company’s Vision
Research the company’s mission and recent achievements, especially their focus on AI and machine learning. Being able to articulate how your skills align with their goals will show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current state of their data platform, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture and role are the right fit for you.
