At a Glance
- Tasks: Build and optimise data workflows to support our innovative AI solutions.
- Company: Join Nscale, a leading GPU cloud provider for AI innovation.
- Benefits: Competitive salary, equity options, flexible work environment, and growth opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 5+ years in data engineering, proficiency in Python and TypeScript, experience with Palantir Foundry.
- Other info: Inclusive culture that values diverse backgrounds and perspectives.
The predicted salary is between 36000 - 60000 £ per year.
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.
About the Role
We’re looking for a Workflow Builder that will pull together and construct the data, models and workflows to underpin our business. You will bring distinct use cases as well as an overall operating system and architecture for data at Nscale, spanning Infrastructure, Product, Finance, Commercial, People and Operations, amongst others. You will define the roadmap based on business needs, build solutions across relevant product suites including Palantir Foundry, and ensure that teams at Nscale can make decisions backed by the right data. The role is ideal for someone who can distill the most valuable workflows from a myriad of inputs and teams, can effectively partner with C-suite and factory workers alike, and has prior experience deploying Palantir Foundry.
What you’ll be doing
- Execute the enterprise roadmap for the internal data and application platform, aligning use case development with product and business priorities.
- Assume end-to-end responsibility for specific use-case identification, design, build and rollout.
- Scale partner-developed and experimental solutions into production-grade, internally owned systems.
- Be a part of the internal Palantir Center of Excellence covering platform engineering, access management, and user support, as well as partnership with the vendor to provide continuous feedback and understanding upcoming developments.
Data Architecture, Ontology & Governance
- Implement enterprise standards for data ingestion, pipeline orchestration, semantic modeling, and interoperability across analytics systems.
- Own governance of canonical data models and ontologies, managing schema evolution while maintaining business and product alignment.
- Enforce best practices for dataset management, version control, code quality, review processes, and reproducible AI workflows.
- Design and operate a secure identity and permissions framework, including RBAC, restricted views, and enterprise identity integrations.
- Integrate data across development, production, and operational systems into a unified AI data fabric supporting real-time insights.
- Build feedback loops from deployed AI systems to track performance, reliability, and operational readiness.
- Deliver tools and data products that improve efficiency, quality, and decision-making across teams.
- Drive platform adoption through onboarding, training, documentation, and safe self-service development practices.
About You
- 5+ years of experience in data engineering within fast-paced and varied environments of any sector.
- Proficiency in Python and TypeScript.
- Experience deploying and building in Palantir Foundry preferred.
- Experience with Git or other version control systems.
- Proven success in taking ambiguous tasks and turning them into products and solutions that were successfully developed, rolled out and adopted.
- Excitement at the prospect of working in a fast paced, high-growth environment.
What we can offer you
At Nscale, you’ll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We’re building something extraordinary, and we want you at the core.
- Highly competitive package (base + equity) with reviews every 12 months.
- Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
- Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
- Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice.
Workflow Builder employer: Nscale
Contact Detail:
Nscale Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Workflow Builder
✨Tip Number 1
Network like a pro! Reach out to current employees at Nscale on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. Building connections can give you insider knowledge and make your application stand out.
✨Tip Number 2
Prepare for the interview by understanding Nscale's mission and values. Familiarise yourself with their GPU cloud technology and how it supports AI development. This will show that you're genuinely interested in the role and ready to contribute to their innovative culture.
✨Tip Number 3
Practice your problem-solving skills! Since the role involves data architecture and workflow building, be ready to tackle real-world scenarios during interviews. Use examples from your past experience to demonstrate how you've successfully turned ambiguous tasks into actionable solutions.
✨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, it shows that you’re proactive and serious about joining the Nscale team.
We think you need these skills to ace Workflow Builder
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and data engineering shine through. We want to see how excited you are about the role and how you can contribute to our mission at Nscale.
Tailor Your Experience: Make sure to highlight your relevant experience with data workflows and Palantir Foundry. We love seeing how your past roles align with what we're looking for, so don’t hold back on those specific examples!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. Avoid jargon unless it’s absolutely necessary!
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 you’re keen on joining our team!
How to prepare for a job interview at Nscale
✨Know Your Stuff
Make sure you’re well-versed in data engineering concepts, especially around Python, TypeScript, and Palantir Foundry. Brush up on your understanding of data architecture and governance, as these are key areas for the Workflow Builder role.
✨Showcase Your Experience
Prepare to discuss specific projects where you've taken ambiguous tasks and turned them into successful products. Highlight your experience in fast-paced environments and how you’ve scaled solutions into production-grade systems.
✨Understand Nscale's Culture
Familiarise yourself with Nscale’s values of innovation, ownership, and accountability. Be ready to share how you embody these traits in your work and how you can contribute to building trust through openness and transparency.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges with data workflows or how they envision the future of AI at Nscale. This demonstrates your proactive mindset and eagerness to contribute.