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For Companies At a Glance
- Tasks: Lead the data lifecycle from ingestion to visualisation, transforming raw data into actionable insights.
- Company: Boutique software consultancy delivering innovative solutions to the financial sector.
- Benefits: Fully remote work, competitive pay of ÂŁ500/day, and long-term contract opportunities.
- Why this job: Join a dynamic team and make a real impact in the fast-paced world of data.
- Qualifications: Experience as a Product Owner in data-heavy environments and strong collaboration skills.
- Other info: Embrace an entrepreneurial mindset and thrive in a feedback-driven culture.
The predicted salary is between 40000 - 60000 ÂŁ per year.
Toucanberry Tech is a UK-based boutique software consultancy delivering high-impact solutions to the financial sector. We work in agile, cross‑functional teams to solve complex challenges with speed, autonomy, and innovation.
Key Responsibilities
- Owning the end‑to‑end data lifecycle, from ingestion and transformation through to modelling, analysis, and visualisation.
- Converting disparate raw data into reliable, structured datasets ready for modelling, analysis, and visual reporting.
- Managing the product backlog, translating high‑level business requirements into clear, actionable user stories.
- Leading a high‑performing squad of engineers and analysts to ensure seamless delivery and creating a shared understanding of the product vision.
- Running product discovery, roadmap planning, and stakeholder management sessions, ensuring alignment between technical execution and business goals.
- Becoming the subject matter expert for a deeply technical data platform, with a focus on backend services, data pipelines, and API integrations.
- Championing our feedback‑driven culture, continuously refining ways of working to deliver maximum value.
Requirements
- Demonstrable experience as a Product Owner in your last two consecutive roles, ideally owning a data‑heavy product.
- Proven, hands‑on experience collaborating directly with in‑house developers (not outsourced teams).
- Strong technical background with significant experience in data‑heavy environments.
- Experience transforming messy or inconsistent source data into analysis‑ready models.
- A "modern start‑up PO" mindset: you are deeply involved in the 'what' and 'why', and you are used to sitting with developers to solve problems.
- An entrepreneurial approach; perhaps you’ve helped build an MVP, secured funding, or worked in a role where you had to justify product value with clear commercial outcomes.
Benefits
- Fully Remote
- Outside IR35
- Long‑term contract
- ÂŁ500/Day
Profile
- Seniority level: Mid‑Senior level
- Employment type: Contract
- Job function: Consulting
- Industries: IT Services and IT Consulting
Data Product Owner (Pipelines & Modelling) employer: Toucanberry Tech
Contact Detail:
Toucanberry Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner (Pipelines & Modelling)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Toucanberry Tech or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for the interview by understanding their products and services inside out. Dive into their website and social media to get a feel for their culture and recent projects. This will help you tailor your answers and show you’re genuinely interested.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss specific examples where you’ve turned messy data into structured datasets or led a team through a challenging project. Real-life stories resonate well!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role and mentioning something specific from your conversation can keep you top of mind for the hiring team.
We think you need these skills to ace Data Product Owner (Pipelines & Modelling)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Product Owner. Highlight your experience with data-heavy products and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience in agile environments and working closely with developers.
Showcase Your Technical Skills: Since this role requires a strong technical background, make sure to include specific examples of your experience with data pipelines, API integrations, and transforming raw data. We love seeing concrete achievements!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Toucanberry Tech
✨Know Your Data Inside Out
As a Data Product Owner, you need to demonstrate your understanding of the data lifecycle. Brush up on how to convert raw data into structured datasets and be ready to discuss specific examples from your past roles where you've successfully managed this process.
✨Showcase Your Agile Experience
Since Toucanberry Tech works in agile teams, be prepared to talk about your experience in agile methodologies. Share instances where you've led product discovery sessions or managed a product backlog, highlighting how you ensured alignment between technical execution and business goals.
✨Communicate Like a Pro
Effective communication is key for a Product Owner. Practice articulating complex technical concepts in simple terms. Be ready to explain how you've collaborated with developers and analysts in the past, ensuring everyone is on the same page regarding the product vision.
✨Emphasise Your Entrepreneurial Spirit
Toucanberry values an entrepreneurial mindset. Prepare to discuss any experiences where you've helped build a minimum viable product (MVP) or secured funding. Highlight how you've justified product value with clear commercial outcomes, showcasing your ability to think strategically.
