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- Tasks: Lead data engineering projects and drive innovative solutions using Microsoft Stack and Azure.
- Company: Global Professional Services firm with a focus on data analytics.
- Benefits: Competitive salary, remote work flexibility, and opportunities for travel.
- Why this job: Join a dynamic team and make an impact in the world of data analytics.
- Qualifications: Experience in data engineering and product ownership with strong analytical skills.
- Other info: Collaborative environment with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineering / Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States) on occasions.
We need someone who has come from a Data-Engineering First background with a hardened skillset in Microsoft Stack Technologies (C# .NET Core) who has then transitioned into Product Ownership. We need someone highly analytical who can understand large Data Sets, Data Bricks and is able to bring Proof of Concepts to the table and help with the execution.
The platform primarily serves two key personas:
- Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and
- Assurance professionals, who use the analysers to enhance audit quality and client service (this can be taught – the mentality is development and analytical mindset first, audit specific knowledge second, which you can learn).
This being said, we need DATA HEAVY Product Owners who have managed complex, Global products.
Experience required:
- Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership.
- Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance.
- Development Framework experience within Microsoft Stack Technologies.
- Experience with implementing and optimising scalable cloud infrastructure is highly valued.
- Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing detailed user stories, and collaborating with development teams to deliver sprint goals.
- Agile product ownership: Experience in SAFe or similar agile frameworks, including daily scrum leadership and sprint planning.
- Cross-team collaboration: Effective working across engineering, analytics, and business teams to ensure seamless execution.
- KPI management: Ability to track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders.
- Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures.
- Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership.
- Collaboration and flexibility: Experience working with distributed teams in dynamic, fast-paced environments.
- Innovation mindset: Passion for leveraging advanced analytics, AI, and cloud technologies to deliver cutting-edge solutions.
Nice to have – experience working within an Accountancy firm, like a Big 4 player (for instance).
This is a great opportunity and salary is dependent upon experience. Apply now for more details...
Data Engineering Product Owner, Technology, Data Bricks, Microsoft Stack employer: Carrington Recruitment Solutions Ltd
Contact Detail:
Carrington Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Product Owner, Technology, Data Bricks, Microsoft Stack
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and product ownership space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Data Bricks, and any complex data sets you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your agile methodologies and backlog management techniques. Be ready to discuss how you've collaborated with cross-functional teams and delivered on sprint goals. We want to see that data-first mentality in action!
✨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 proactive about their job search!
We think you need these skills to ace Data Engineering Product Owner, Technology, Data Bricks, Microsoft Stack
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Data Engineering and Microsoft Stack technologies, as well as any relevant product ownership roles. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your analytical mindset can contribute to our team. Don’t forget to mention your experience with Azure and Databricks – we love that stuff!
Showcase Your Achievements: When detailing your experience, focus on specific achievements. Did you optimise a cloud infrastructure or lead a successful project? We want to hear about it! Numbers and results speak volumes, so don’t hold back.
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 get all the updates. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Carrington Recruitment Solutions Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data engineering knowledge, especially around Microsoft Stack technologies and Azure services. Be prepared to discuss your experience with Data Bricks and how you've handled large data sets in previous roles.
✨Showcase Your Product Ownership Skills
Be ready to talk about your transition from a data engineering role to product ownership. Highlight specific examples where you've managed product backlogs, prioritised user stories, and collaborated with development teams to achieve sprint goals.
✨Demonstrate Your Analytical Mindset
Prepare to discuss how you've used KPIs to guide product improvements. Think of concrete examples where your analytical skills made a difference in project outcomes, especially in a global context.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You'll need to convey your ideas effectively to various audiences, so focus on clarity and confidence during your interview.