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For Companies At a Glance
- Tasks: Build innovative products at the intersection of data engineering and AI workflows.
- Company: Fast-growing tech company revolutionising enterprise data and AI platforms.
- Benefits: Competitive salary, equity, hybrid work, and growth opportunities.
- Why this job: Shape a core platform and work on real-world AI applications.
- Qualifications: 2-6 years in data or product-focused engineering with Python and SQL skills.
- Other info: Dynamic startup environment with evolving priorities and learning opportunities.
The predicted salary is between 55000 - 70000 £ per year.
Location: London (Hybrid – 3 days onsite)
Level: Mid–Senior (roughly 2–6 years' experience)
The Opportunity
We're working with a fast-growing, venture-backed technology company building an enterprise data and AI platform used by large, global organisations. They're hiring a Product Engineer — someone who enjoys building real products, not just pipelines or one-off solutions. This role sits at the intersection of data engineering, backend engineering, and product thinking, with exposure to modern AI-enabled workflows.
You'll work on problems where customer needs are complex and messy — and your job is to turn those needs into reusable, configurable platform features that can be deployed again and again. If you like understanding why something is being built, not just what, this role is likely a strong fit.
What You'll Be Doing (Day to Day)
- Work closely with product managers, engineers, and end users to understand new customer use cases
- Turn those use cases into reusable platform capabilities, rather than bespoke solutions
- Design and build scalable data models, workflows, and abstractions that work across multiple customers
- Build and extend AI-enabled workflows as part of the core product (e.g. decision support, automation, insight generation)
- Develop and maintain data pipelines using Python, PySpark, SQL, and distributed systems
- Make pragmatic engineering decisions that balance short-term delivery with long-term product quality
- Contribute to technical and architectural discussions as the platform evolves
You won't be expected to 'know everything' on day one — learning and iteration are part of the role.
What They're Looking For
- 2–6 years' experience in data engineering, analytics engineering, or product-focused engineering
- Experience working on products or platforms, not just isolated projects
- Confidence turning loosely defined business problems into clean technical solutions
- Solid foundations in Python, SQL, and working with large datasets
- Comfortable in a startup environment where priorities evolve and things aren't always fully specified
Nice to Have (Not Essential)
- Experience with modern data platforms (e.g. Databricks, Snowflake, dbt, Airflow, Foundry)
- Some exposure to backend development or API design
- TypeScript experience
- Familiarity with enterprise systems (ERP, CRM, etc.)
- Exposure to AI-enabled systems, generative AI, or workflow orchestration
If you don't tick all of these boxes, that's absolutely fine.
Why This Role Is Interesting
- You'll help shape a core enterprise platform, not just implement requirements
- Strong exposure to real-world AI applications, not demos or experiments
- Work closely with experienced product and engineering leaders
- Clear opportunity to grow into a senior product-focused engineering role
- Competitive salary, meaningful equity, and hybrid working
If interested, please apply and I'll give you a call.
Product Engineer in Slough employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer in Slough
✨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 or GitHub repository showcasing your projects, especially those related to data engineering and AI. This gives employers a tangible sense of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to product engineering. Think about how you would tackle complex customer needs and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Product Engineer in Slough
Some tips for your application 🫡
Show Your Passion for Product Engineering: When writing your application, let us see your enthusiasm for building real products. Share examples of how you've tackled complex customer needs and turned them into effective solutions. We love seeing candidates who are genuinely excited about the role!
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in data engineering and product-focused roles. We want to know how your skills align with what we're looking for, so don’t be shy about showcasing your achievements!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications.
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 serious about joining our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Understand the Product Mindset
Before your interview, take some time to really grasp what it means to be a Product Engineer. Familiarise yourself with how product thinking intersects with data engineering and backend development. Be ready to discuss how you can turn complex customer needs into scalable platform features.
✨Showcase Your Technical Skills
Make sure you can confidently talk about your experience with Python, SQL, and any relevant data platforms. Prepare examples of projects where you've built data models or workflows, and be ready to explain your decision-making process in technical discussions.
✨Emphasise Collaboration
This role involves working closely with product managers and engineers, so highlight your teamwork skills. Share specific instances where you've collaborated on projects, especially in a startup environment where priorities shift. This will show that you're adaptable and can thrive in dynamic settings.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to tackle loosely defined business problems. Think of examples where you've successfully turned vague requirements into clear technical solutions. Practising these scenarios will help you articulate your thought process during the interview.
