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- 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: Join a dynamic team and make an impact in data-driven projects.
- Qualifications: Experience in product ownership and a strong technical background in data environments.
- Other info: Ideal for those with an entrepreneurial mindset seeking growth.
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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and tech space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your past projects. This is your chance to demonstrate your hands-on experience in managing product backlogs and data lifecycles.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss how you’ve collaborated with developers and tackled challenges in data-heavy environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace Remote Data Product Owner: Pipelines & Modelling
Some tips for your application 🫡
Show Your Data Passion: When writing your application, let us see your enthusiasm for data! Share specific examples of how you've owned data products in the past and what impact you made. We love seeing candidates who are genuinely excited about the data lifecycle.
Tailor Your Experience: Make sure to customise your application to highlight your relevant experience. We want to know how your background aligns with the role of a Data Product Owner. Use keywords from the job description to make it clear that you’re the perfect fit!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and experience without wading through fluff.
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 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 times when you've taken initiative or driven innovation. Be ready to share how you've approached challenges creatively and what outcomes resulted from your efforts.
✨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.
