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- Tasks: Lead data engineering projects, prioritise features, and ensure high-quality data solutions.
- Company: Join a top supply chain company revolutionising their data platform.
- Benefits: Enjoy a hybrid work model, competitive salary, and bonus opportunities.
- Why this job: Shape the future of data technology while collaborating with diverse teams.
- Qualifications: Experience in data engineering and product management, ideally with AWS or Azure.
- Other info: Opportunity for a no-obligation chat with a consultant and referral bonuses.
The predicted salary is between 66000 - 75000 £ per year.
VIQU has partnered with a leading supply chain company looking for a Data Engineering Product Owner to help shape and drive the future of their data platform. This is a hybrid role, combining stakeholder engagement, product direction, and technical oversight - ideal for someone who understands data engineering but can also take a broader product-led view to deliver tangible business value.
You will be working closely with both business and technical teams - leading conversations, defining and prioritising platform features, and ensuring the delivery of scalable, secure, and high-performing data solutions. You will play a key part in helping the business get the most from their investment in modern data technologies.
Key Responsibilities:- Act as an SME for the data engineering domain, particularly across cloud data platforms (AWS/Azure).
- Own the product roadmap for the data engineering space - identifying, shaping and prioritising features to deliver real business value.
- Drive delivery of data platform capabilities, ensuring alignment with engineering best practices and technical strategy.
- Guide engineering teams on best practice, methodologies, and solution design.
- Lead implementation of data solutions, with a focus on scalability, performance, and security.
- Translate complex technical concepts into understandable terms for non-technical stakeholders and senior leadership.
- Actively engage with business stakeholders to understand their needs and turn them into actionable technical requirements.
- Provide input on data modelling, data flows, and pipeline optimisation as part of delivering robust platform capabilities.
- Identify and mitigate risks associated with domain-specific technologies and delivery.
- Strong background in data engineering, with experience in a product owner or product manager.
- Proven ability to work closely with both business and technical teams - translating complex requirements clearly to both.
- Experience working with AWS (preferred) or Azure cloud environments.
- Hands-on experience or strong understanding of Databricks (or other Spark-based platforms).
- Familiarity with modern data modelling approaches and pipeline design.
- Confident leading conversations across technical teams and stakeholders - strong communicator and collaborator.
- Knowledge of data security, governance, and best practice tooling is a plus.
- Ideally degree-educated in Computer Science, Engineering, or similar, with 8+ years in data-related roles.
To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant.
Data Engineering Product Owner employer: VIQU Limited
Contact Detail:
VIQU Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Product Owner
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around cloud platforms like AWS and Azure. This knowledge will help you engage more effectively with both technical teams and business stakeholders during discussions.
✨Tip Number 2
Brush up on your communication skills, particularly in translating complex technical concepts into layman's terms. This will be crucial when you're leading conversations with non-technical stakeholders and ensuring everyone is on the same page.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience as product owners or managers. They can provide insights and tips that could give you an edge in your application process.
✨Tip Number 4
Prepare to discuss specific examples of how you've driven product direction and prioritised features in past roles. Being able to showcase your hands-on experience will demonstrate your capability to deliver real business value.
We think you need these skills to ace Data Engineering Product Owner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and product ownership. Emphasise your familiarity with cloud platforms like AWS or Azure, and any hands-on experience with Databricks or similar technologies.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for the Data Engineering Product Owner role. Discuss your ability to bridge the gap between technical and non-technical teams, and provide examples of how you've delivered business value through data solutions.
Showcase Relevant Projects: If you have specific projects that demonstrate your skills in data engineering and product management, include them in your application. Highlight your role in these projects and the impact they had on the business.
Prepare for Technical Questions: Be ready to discuss your technical knowledge during the interview process. Brush up on data modelling, pipeline design, and best practices in data security and governance, as these are key aspects of the role.
How to prepare for a job interview at VIQU Limited
✨Understand the Role
Make sure you have a clear understanding of what a Data Engineering Product Owner does. Familiarise yourself with the key responsibilities and requirements listed in the job description, especially around stakeholder engagement and technical oversight.
✨Showcase Your Technical Knowledge
Be prepared to discuss your experience with cloud platforms like AWS or Azure, as well as your familiarity with data engineering concepts. Highlight any hands-on experience with Databricks or similar technologies to demonstrate your technical prowess.
✨Communicate Effectively
Since this role involves translating complex technical concepts for non-technical stakeholders, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between technical and business teams.
✨Prepare Questions
Think of insightful questions to ask during the interview. Inquire about the company's data strategy, the challenges they face, and how they measure success in their data initiatives. This shows your genuine interest in the role and the company.
