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- Tasks: Lead data engineering projects and drive innovative solutions using Microsoft technologies.
- Company: Global Professional Services firm with a focus on data analytics.
- Benefits: Remote work flexibility, competitive salary, and opportunities for travel.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Experience in data engineering and product ownership with Microsoft Stack.
- Other info: Collaborative environment with growth potential in a fast-paced industry.
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 in London employer: Carrington Recruitment Solutions
Contact Detail:
Carrington Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Product Owner, Technology, Data Bricks, Microsoft in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering and product ownership. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your skills! Create a portfolio or a GitHub repository with projects that highlight your experience with Azure, Data Bricks, and any relevant data engineering work. This will give you an edge over other candidates.
✨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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data engineering background and product ownership experience. We want to see how your skills align with the job description, so don’t be shy about showcasing your familiarity with Azure and Data Bricks!
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. Remember, we love innovation, so share any cool projects or ideas you've worked on.
Showcase Your Technical Skills: In your application, be sure to mention your technical proficiency with Microsoft Stack Technologies and any experience with cloud infrastructure. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Carrington Recruitment Solutions
✨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 share specific examples of how you've managed product backlogs and collaborated with development teams. Highlight your experience with agile frameworks like SAFe, and be prepared to discuss how you lead daily scrums and sprint planning.
✨Communicate Clearly and Confidently
Since you'll need to convey technical concepts to various audiences, practice explaining complex ideas in simple terms. Think about how you can communicate your analytical mindset and innovation approach effectively during the interview.
✨Demonstrate Your Analytical Mindset
Prepare to discuss how you've used KPIs to guide product improvements in the past. Share examples of how you've leveraged advanced analytics and AI/ML applications to deliver solutions, showcasing your passion for innovation in data engineering.
