Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data product development and ensure high-quality, scalable solutions for mobile apps.
- Company: Join a forward-thinking tech company focused on data-driven decision-making.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by connecting business needs with innovative data engineering solutions.
- Qualifications: Experience in data engineering or analytics, strong communication skills, and technical knowledge.
- Other info: Collaborative environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Technical Product Owner (TPO) to support the Data Engineering team that powers data solutions for our Mobile apps. This role connects business collaborators, analytics, and engineering. It ensures the team delivers high-quality, scalable, and efficient data products that enable data-driven decision-making throughout the business. The ideal candidate will combine technical knowledge of data infrastructure with strong business insight, translating complex business needs into actionable data engineering requirements.
What you'll do
- Product Ownership & Prioritization
- Own the roadmap for data infrastructure and management for 4 of our apps, aligning with business and analytics priorities.
- Gather and translate business requirements into clear technical stories and acceptance criteria.
- Prioritize tasks based on impact, feasibility, and business value to ensure efficient use of engineering capacity.
- Maintain and refine the data product backlog, promoting openness and coordination across teams.
- Delivery & Coordination
- Work closely with 4-5 Data Engineers to lead delivery timelines, sprint planning, and achievement tracking.
- Partner with Solution Architects and Leads from other teams to ensure design decisions align with scalability and performance goals.
- Coordinate cross-functional dependencies between Data Engineering, Analytics, and Product teams.
- Collaborate closely with the Program Manager to align on delivery timelines and dependencies.
- While the Program Manager owns the overall roadmap, responsibility for delivery from an execution perspective will lie with the Technical Product Owner.
- Data Platform Ownership
- Coordinate the delivery and maintenance of: Data Warehouse Management (Snowflake), Batch & Real-Time ETL Pipelines.
- Ensure all data pipelines are reliable, performant, and aligned with defined SLAs.
- Advocate for data quality, consistency, and documentation across the DE ecosystem.
- Collaboration
- Act as the primary liaison between business, analytics, data science, and engineering teams.
- Understand app-level business metrics, indicators, and reporting needs for the apps.
- Communicate technical progress, blockers, and priorities clearly to non-technical team members.
- Facilitate sprint reviews, demos, and roadmap discussions to ensure transparency and alignment.
What we are looking for
- Experience as a Technical Product Owner or Data Product Manager in a data engineering or analytics environment.
- Solid understanding of data platforms and pipelines (batch and real-time ingestion).
- Hands-on familiarity with: Snowflake (or equivalent cloud data warehouse), Looker (or other BI tools), Airflow, Pub/Sub, or similar orchestration and ingestion frameworks.
- Experience with data infrastructure monitoring and optimization.
- Strong communication skills.
- Ability to translate business goals into actionable technical requirements.
- Background in mobile apps, gaming, or digital analytics preferred.
Technical Product Owner (Data Engineering) in London employer: Product Madness (U.K) Limited
Contact Detail:
Product Madness (U.K) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Product Owner (Data Engineering) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Technical Product Owner gig.
✨Tip Number 2
Prepare for those interviews by brushing up on your data engineering knowledge. We suggest you dive deep into Snowflake and ETL processes, so you can confidently discuss how you’d manage data infrastructure for our apps.
✨Tip Number 3
Showcase your communication skills! Practice explaining complex technical concepts in simple terms. As a TPO, you’ll need to liaise between teams, so being able to translate tech speak into business language is key.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Technical Product Owner (Data Engineering) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Technical Product Owner. Highlight your experience with data engineering and product management, and don’t forget to mention any relevant tools like Snowflake or Looker. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Data Engineering team. Share specific examples of how you've translated business needs into technical requirements in the past. We love a good story that showcases your skills!
Showcase Your Communication Skills: As a TPO, you'll be the bridge between teams, so make sure to highlight your communication prowess in your application. Whether it's through your CV or cover letter, demonstrate how you've effectively communicated complex ideas to non-technical stakeholders. We value clarity and collaboration!
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 keen on joining the StudySmarter family!
How to prepare for a job interview at Product Madness (U.K) Limited
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data platforms and pipelines, especially Snowflake and ETL processes. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.
✨Translate Business Needs into Technical Stories
Prepare examples of how you've successfully gathered business requirements and translated them into actionable technical stories. This will show your ability to bridge the gap between technical and non-technical teams, which is crucial for a Technical Product Owner.
✨Showcase Your Collaboration Skills
Think of specific instances where you've worked closely with cross-functional teams, like Data Engineers or Analytics teams. Highlight how you facilitated communication and ensured everyone was aligned on project goals and timelines.
✨Be Ready for Scenario Questions
Expect questions that ask how you would handle prioritisation of tasks or manage delivery timelines. Prepare to discuss your thought process and decision-making criteria, as this will demonstrate your strategic thinking and product ownership skills.
