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- Tasks: Lead a dynamic Data Engineering team to build scalable data solutions on Google Cloud Platform.
- Company: Join a forward-thinking company focused on innovative data management.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, supportive environment.
- Why this job: Make a real impact by delivering high-performance data platforms for global clients.
- Qualifications: Experience with GCP, BigQuery, and cloud architecture is essential.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an experienced Data Manager to lead a high-performing Data Engineering team building scalable data and reporting platforms used by global stakeholders. In this role, you will guide the development of high-throughput, database-centric applications that process and deliver critical operational data at scale. Working within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems. You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms that support a global client base. This role is eligible for hybrid working in the North West or Midlands.
About the Team
The Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes:
- Google Cloud Platform (GCP) architecture
- BigQuery data warehousing
- High-throughput distributed applications
- Batch data processing pipelines
- Integration with REST and SOAP APIs
- Windows and web services
- Web-based applications and reporting platforms
Responsibilities
- Leading and mentoring a geographically distributed Data Engineering team
- Driving the development of cloud-based data and reporting solutions on GCP
- Owning the delivery of scalable data platforms that support global operations
- Supporting the adoption of AI tools and automation to enhance engineering workflows
- Collaborating with stakeholders across multiple departments to prioritise and deliver projects
- Managing technical risks, issues, and cross-team dependencies
- Improving engineering practices, processes, and delivery efficiency
- Ensuring high standards of system performance, scalability, and reliability
Qualifications
- Strong experience with Google Cloud Platform (GCP) and BigQuery
- Deep understanding of cloud architecture and distributed data systems
- Commercial database development experience using SQL Server, T-SQL, BigQuery or GoogleSQL
- Experience implementing data platforms, reporting systems, or large-scale data pipelines
- Experience working with AI tools to improve development workflows
- Experience designing and implementing cloud-native solutions
- Experience working with large-scale global data platforms is advantageous
Data Manager in Nottingham employer: Uniting Ambition
Contact Detail:
Uniting Ambition Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with GCP and BigQuery. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to cloud architecture and data platforms. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common data management scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially around scalability and reliability in data systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our Data Engineering team. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Manager in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Manager role. Highlight your experience with GCP, BigQuery, and any relevant data engineering projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how your background makes you a perfect fit for our team. Don’t forget to mention your experience leading teams and collaborating with stakeholders.
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills, especially around cloud architecture and distributed systems. We love seeing specific examples of how you've implemented data platforms or improved workflows using AI tools.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Uniting Ambition
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss how you've used GCP in past projects, especially with BigQuery and distributed systems. Highlight specific examples where you’ve designed or implemented cloud-native solutions.
✨Showcase Your Leadership Skills
As a Data Manager, you'll be leading a geographically distributed team. Prepare to share your experiences in mentoring and guiding teams. Think of instances where you’ve successfully driven projects or improved team performance, and be ready to discuss your approach to collaboration across departments.
✨Demonstrate Problem-Solving Abilities
Expect questions about managing technical risks and issues. Have examples ready that showcase your ability to identify problems and implement effective solutions. Discuss how you prioritise tasks and manage dependencies across teams to ensure project success.
✨Stay Current with AI Tools
AI tools are becoming increasingly important in data engineering. Be prepared to talk about any experience you have with AI tools and how they’ve enhanced your workflows. If you’ve implemented automation in your projects, share those insights to show your forward-thinking approach.