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For Companies At a Glance
- Tasks: Own the data lifecycle and manage product backlogs while collaborating with developers.
- Company: Boutique software consultancy in the UK with a focus on innovation.
- Benefits: Fully remote work, long-term contract, and competitive pay at £500 per day.
- Why this job: Lead exciting data projects and make a real impact in a dynamic environment.
- Qualifications: Experience in product ownership and a strong technical background in data.
- Other info: Join a team that values entrepreneurial mindsets and offers growth opportunities.
The predicted salary is between 100000 - 120000 £ per year.
A boutique software consultancy in the UK is looking for a hands-on Data Product Owner to join their team. This role involves owning the entire data lifecycle and managing product backlogs, while collaborating closely with developers.
The ideal candidate should have demonstrable experience in product ownership, a strong technical background in data-heavy environments, and an entrepreneurial mindset.
This position offers a fully remote work arrangement with a long-term contract at £500 per day.
Remote Data Product Owner: Pipelines & Modelling in London employer: Toucanberry Tech Ltd
Contact Detail:
Toucanberry Tech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Product Owner: Pipelines & Modelling in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and tech space. Let them know you're on the lookout for opportunities, and who knows? They might just have a lead on that perfect Data Product Owner role.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your past projects and achievements in product ownership. This is your chance to demonstrate your hands-on experience and entrepreneurial mindset to potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Product Owners and practice your responses. Be ready to discuss how you've managed product backlogs and collaborated with developers in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote Data Product Owner: Pipelines & Modelling in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We want to see how your experience aligns with the role of Data Product Owner and how you can contribute to our team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your product ownership experience and any technical skills that relate to data-heavy environments. We love seeing candidates who take the time to connect their background to what we do!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the position. Remember, less is often more!
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 it gets into the right hands quickly. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Toucanberry Tech Ltd
✨Know Your Data Inside Out
As a Data Product Owner, you need to demonstrate a solid understanding of data pipelines and modelling. Brush up on your technical knowledge and be ready to discuss specific tools and methodologies you've used in previous roles.
✨Showcase Your Product Ownership Experience
Prepare examples that highlight your experience in managing product backlogs and collaborating with developers. Use the STAR method (Situation, Task, Action, Result) to structure your responses and make them impactful.
✨Emphasise Your Entrepreneurial Mindset
This role requires an entrepreneurial spirit, so think about how you've taken initiative in past projects. Be ready to share instances where you've identified opportunities for improvement or innovation within a data-heavy environment.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
