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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 analytics.
- Qualifications: Experience in data engineering and product ownership with Microsoft Stack.
- Other info: Collaborative environment with opportunities for professional growth.
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 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 prioritising 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, analyse, 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.
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 City of London employer: Carrington Recruitment Solutions Limited
Contact Detail:
Carrington Recruitment Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Product Owner, Technology, Data Bricks, Microsoft in City of London
✨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 virtual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Azure, Data Bricks, and any relevant projects. This is your chance to demonstrate your data-first mentality and technical proficiency. A well-organised portfolio can really set you apart from the competition.
✨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 you can communicate complex concepts clearly!
✨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. So, get those applications in and let’s get you that dream role!
We think you need these skills to ace Data Engineering Product Owner, Technology, Data Bricks, Microsoft in City of London
Some tips for your application 🫡
Show Your Data-First Mentality: Make sure to highlight your background in data engineering. We want to see how you've transitioned into product ownership while keeping that data-first mindset at the forefront of your work.
Be Specific About Your Technical Skills: When listing your experience, be specific about your familiarity with Azure services and Microsoft Stack Technologies. We love seeing concrete examples of how you've used these tools in your previous roles.
Demonstrate Your Agile Experience: Since we’re all about agile frameworks, share your experiences with SAFe or similar methodologies. Let us know how you’ve led scrums and managed backlogs to keep projects on track.
Communicate Clearly: Your application should reflect your excellent communication skills. We need to see how you can convey complex technical concepts to different audiences, so don’t hold back on showcasing this in your writing!
How to prepare for a job interview at Carrington Recruitment Solutions Limited
✨Know Your Data Inside Out
Make sure you brush up on your data engineering knowledge, especially around Microsoft Stack Technologies and Azure services. Be ready to discuss your experience with Data Bricks and how you've handled large data sets in previous roles.
✨Showcase Your Product Ownership Skills
Prepare examples of how you've managed product backlogs and collaborated with development teams. Highlight your experience in agile frameworks like SAFe, and be ready to explain how you prioritise tasks and lead sprints.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to convey your ideas to various audiences, so think about how you can make your points clear and engaging for both technical and non-technical stakeholders.
✨Demonstrate Your Analytical Mindset
Be prepared to discuss how you've used KPIs to guide product improvements. Share specific examples of how your analytical skills have led to successful outcomes in your previous roles, especially in a data-heavy environment.