Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deploy and adapt AI-enabled data solutions for enterprise customers.
- Company: Fast-growing B2B SaaS company with a mission-driven culture.
- Benefits: Competitive salary, equity, hybrid work, and clear career progression.
- Why this job: Make a real impact by solving business problems with cutting-edge technology.
- Qualifications: 2-4 years in data engineering, strong Python and SQL skills.
- Other info: Enjoy high ownership, variety, and collaboration with experienced teams.
The predicted salary is between 45000 - 75000 £ per year.
Salary: £45,000 – £75,000 (DOE)
Location: London (Hybrid – 3 days onsite)
The Opportunity
We're partnering with a fast-growing B2B SaaS company building an advanced enterprise data and AI platform used by large, global organisations. They're hiring a Forward Deployed Data Engineer — a hands-on, customer-facing role for engineers who enjoy solving real business problems and seeing their work live in production. This is not a traditional "support" role. You'll act as an extension of the product and engineering team, working directly with customers to adapt and deploy the platform in high-impact environments. If you enjoy ownership, context, and variety — and don't want to spend your career just building internal pipelines — this role offers something different.
What You'll Be Doing (In Practice)
- Work directly with enterprise customers to deploy and adapt the platform in production
- Take loosely defined business problems and turn them into working data solutions
- Configure and extend the platform to fit different customer contexts and priorities
- Design and implement AI-enabled workflows that support decision-making and automation
- Build and maintain data integrations using Python, PySpark, SQL, and distributed systems
- Partner with customers to define success metrics and ensure solutions deliver real outcomes
- Feed learnings from the field back into the product and engineering teams
You'll be trusted with meaningful responsibility, but supported by experienced engineers and product leaders.
What They're Looking For
- 2–4+ years' experience in data engineering, analytics engineering, or similar roles
- Comfortable working with ambiguous requirements and evolving priorities
- Strong fundamentals in Python, SQL, and working with large or complex datasets
- The ability to explain technical concepts clearly to non-technical stakeholders
- A mindset oriented around ownership, problem-solving, and outcomes
- Experience in startups, scale-ups, or consultancies is helpful — but not required.
Nice to Have (Not Required)
- Experience with tools like Databricks, dbt, Airflow, or similar platforms
- Some exposure to API development or backend systems
- Experience integrating enterprise systems (ERP, CRM, operational platforms)
- Familiarity with dashboards or data visualisation tools
- Exposure to AI-enabled workflows or automation
If you don't tick every box, that's okay — they're more interested in how you think than what tools you've used.
Why This Role Appeals to Engineers
- High ownership and visible impact — your work goes live with real customers
- Variety: each deployment brings new challenges and learning
- Close collaboration with product, engineering, and senior customer stakeholders
- Strong exposure to enterprise-scale data and AI use cases
- Competitive salary, meaningful equity, and clear progression opportunities
- Hybrid working, modern London office, and a mission-driven culture
Forward Deployed 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 Forward Deployed 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. The more you engage, the better your chances of landing that Forward Deployed Engineer role.
✨Tip Number 2
Showcase your skills in real-time! Consider building a small project or contributing to open-source work that highlights your data engineering prowess. This hands-on experience can really set you apart when chatting with hiring managers.
✨Tip Number 3
Prepare for those interviews by practising common technical questions and scenarios related to data engineering. We recommend simulating customer interactions to demonstrate how you'd tackle ambiguous requirements and deliver solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission-driven culture.
We think you need these skills to ace Forward Deployed Engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Forward Deployed Engineer role. Highlight your experience with Python, SQL, and any customer-facing roles you've had. We want to see how you can solve real business problems!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working with enterprise customers and how you can adapt our platform to meet their needs. Keep it engaging and relevant!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled ambiguous requirements in the past. We love candidates who can turn loosely defined problems into effective data solutions, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨Understand the Role
Make sure you really grasp what a Forward Deployed Data Engineer does. Familiarise yourself with the responsibilities, especially around deploying and adapting platforms for customers. This will help you articulate how your experience aligns with their needs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in the past. Think about specific instances where you turned loosely defined requirements into successful data solutions. This will demonstrate your ability to think on your feet and adapt to changing priorities.
✨Communicate Clearly
Since this role involves explaining technical concepts to non-technical stakeholders, practice simplifying complex ideas. Use relatable analogies or straightforward language to convey your points. This will show that you can bridge the gap between tech and business.
✨Highlight Your Ownership Mindset
Be ready to discuss times when you've taken ownership of a project or task. Emphasise your proactive approach to problem-solving and how you ensure outcomes are met. This aligns perfectly with what they’re looking for in a candidate who enjoys responsibility and impact.
