At a Glance
- Tasks: Lead the design and development of Typeform's data and AI platform.
- Company: Join Typeform, a unique form builder empowering businesses globally.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: Experience in large-scale data systems and strong technical leadership skills.
The predicted salary is between 48000 - 72000 £ per year.
Join to apply for the Expert Data Platform Engineer role at Typeform.
Who we are
Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Spain, Portugal, or the Netherlands.
About The Team
We’re the team that builds and maintains the data pipelines, tracking systems, and platform components that power Typeform's Data & AI ecosystem. We partner closely with Data Science, Analytics, AI Engineering, Platform Engineering, and IT to deliver trusted, scalable, near–real-time data assets and AI‐ready infrastructure. Today, we’re early in the journey: processes are fragmented, ownership is shared across several teams, and we’re modernizing our stack to support real‐time AI products. Your work will be foundational in bringing clarity, governance, and engineering excellence to this space.
About The Role
We’re looking for an Expert Data Platform Engineer to bring deep technical leadership to our Data Platform and Tracking teams. You’ll shape the next generation of our data and AI platform architecture, introduce modern governance, and take ownership of the mission‐critical components that power our AI strategy. You’ll report to the Senior Data Platform Manager and work closely with leaders across Platform, Data Science, AI Engineering, and TechOps. While you won’t directly manage people, you will influence engineers across multiple teams and raise the technical bar through mentorship, architecture, and hands‐on implementation. This role is central to enabling Typeform's AI ambitions. You’ll translate product and AI requirements into platform capabilities, consolidate fragmented tooling, build for scale, and ensure our real‐time and AI infrastructure is stable, observable, cost‐efficient, and ready for what’s next.
What you’ll do
- Technical leadership & architecture
- Serve as the technical authority for data platform and tracking architecture—guiding design decisions, tool selection, and engineering best practices.
- Design a next‐generation data & AI platform that supports near‐real‐time ingestion, enrichment, and model‐driven product features.
- Translate AI Engineering requirements into clear specifications and capability roadmaps through spec‐driven development.
- Define and implement modern data governance: data quality, lineage, ownership, observability, and cost visibility.
- Evaluate, consolidate, or replace redundant technologies, introducing scalable SaaS solutions where appropriate.
- Own and extend core AI‐platform components, including:
- Arize AI (evals & observability)
- LLM Gateway (model routing, policies, cost controls)
- Pinecone (vector database)
- Model access APIs
- OTEL collector for trace processing
- Take full ownership of the AI Infrastructure components currently run by AI Engineering—ensuring reliability, scale, and clear fallback strategies.
- Document existing workflows across Analytics Engineering, Data Engineering, and AI Engineering to identify automation and process improvements.
- Introduce streamlined development pathways for AI—templates for CI/CD, GitOps, Python microservices, and AI‐specific libraries.
- Implement FinOps principles: baseline costs, identify inefficiencies, and reduce spend across data and AI workloads.
- Support the transition toward a more self‐serve model through ADRs, RFCs, and well‐defined ownership guidelines.
- Mentor Data Engineers on modern Data Platform concepts—streaming, governance, observability, platform reliability, and AI‐aligned workflows.
- Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy.
- Define playbooks and guidelines that standardize how teams build pipelines, collaborate with Platform, and deliver AI‐ready data.
- Increase trust across the organization through clear documentation, architecture records, and consistent communication.
What you bring
- Several years of experience as a software engineer or platform engineer working with large‐scale data systems, streaming architectures, or data/AI platforms.
- Proven experience designing and delivering data platforms, including real‐time ingestion, enrichment, data warehousing, and lake/lakehouse architectures.
- Expertise with streaming technologies (Kafka or similar), reverse‐ETL, and modern big‐data tooling.
- Hands‐on experience with platform components such as Terraform, Terragrunt, CI/CD pipelines, Python, SQL, and cloud‐native infrastructure.
- Experience partnering with Data Science, AI Engineering, and cross‐functional teams to translate requirements into scalable platform capabilities.
- Strong communicator with the ability to influence stakeholders and document architecture clearly.
- Experience mentoring, coaching, or leading engineers technically (even without direct reporting lines).
Extra awesome
- Experience building data, ML, or AI platforms in a B2B SaaS or product‐led environment.
- Familiarity with cost‐optimizing cloud data workloads and data governance frameworks.
- Exposure to AI/ML observability, vector databases, model gateways, or modern AI infra architectures.
- Experience with event‐driven systems and data contracts.
Typeform drives hundreds of millions of interactions each year, enabling conversational, human‐centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual's unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.
We are proud to be an equal‐opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.
Expert Data Platform Engineer in London employer: Typeform
Typeform is an exceptional employer that fosters a collaborative and inclusive work culture, allowing employees to thrive in a fully remote environment. With a strong emphasis on mentorship and professional growth, Typeform provides opportunities for team members to influence the future of data and AI architecture while working alongside talented professionals across various disciplines. The company's commitment to diversity and excellence ensures that every voice is valued, making it a rewarding place for those seeking meaningful contributions in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Expert Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values innovation and collaboration.
We think you need these skills to ace Expert Data Platform Engineer in London
Some tips for your application 🫡
Show Your Technical Skills:When applying for the Expert Data Platform Engineer role, make sure to highlight your experience with large-scale data systems and streaming architectures. We want to see how you've designed and delivered data platforms, so don’t hold back on those details!
Tailor Your Application:Take a moment to customise your application for Typeform. Mention specific projects or experiences that align with our mission of building a robust data and AI platform. This shows us you’re genuinely interested in the role and understand what we’re about.
Be Clear and Concise:We appreciate clarity! When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your skills and experiences stand out. This helps us quickly see why you’d be a great fit for our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Typeform
✨Know Your Tech Stack
Before the interview, make sure you’re familiar with the technologies mentioned in the job description. Brush up on your knowledge of streaming technologies like Kafka, cloud-native infrastructure, and tools like Terraform. Being able to discuss these confidently will show that you’re not just a fit for the role but also genuinely interested in Typeform's tech landscape.
✨Showcase Your Leadership Skills
As an Expert Data Platform Engineer, you'll need to demonstrate your technical leadership. Prepare examples from your past experiences where you've influenced teams or mentored engineers. Highlight how you’ve driven architectural decisions or improved processes, as this will resonate well with the interviewers looking for someone who can elevate their engineering standards.
✨Understand the AI Landscape
Since this role is central to Typeform's AI ambitions, it’s crucial to understand AI concepts and how they relate to data platforms. Be ready to discuss how you would translate AI requirements into platform capabilities. Familiarise yourself with terms like model routing and observability, and think about how you can contribute to building a robust AI infrastructure.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions. Ask about the current challenges the team faces with their data pipelines or how they envision the evolution of their AI strategy. This not only shows your interest in the role but also helps you gauge if Typeform is the right fit for you.
