At a Glance
- Tasks: Lead the development of scalable data platforms and drive DevOps best practices.
- Company: Join Stonewater, a forward-thinking organisation transforming data capabilities.
- Benefits: Enjoy a competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on innovation and excellence.
- Why this job: Make a real impact by shaping data solutions that drive business insights.
- Qualifications: Strong experience in Azure data platforms and leadership skills required.
The predicted salary is between 70000 - 70000 £ per year.
At Stonewater, data is at the heart of how we improve services, drive performance, and support our customers. We're transforming our data capability to build a modern, scalable, and insight-led organisation - and we're looking for a Data DevOps Manager to help lead that journey. This is a high-impact role where you'll shape how data platforms are built, deployed, and operated across the business, ensuring reliability, security, and performance at every step.
As Data DevOps Manager, you'll lead a specialist team delivering data pipelines, platforms, and BI solutions within an Agile environment. You'll combine technical leadership with strategic thinking to ensure our data ecosystem is automated, efficient, and aligned to business needs. You'll work closely with Data Engineering, BI, IT, and business stakeholders to deliver high-quality, trusted data solutions that support everything from operational reporting to executive decision-making.
What you'll be doing:
- Lead the development and operation of scalable data platforms and pipelines
- Drive DevOps best practice across data engineering and BI environments
- Implement Infrastructure as Code (IaC) for cloud-based data solutions
- Ensure high availability, performance, and resilience of data systems
- Deliver dashboards, reports, and analytics that enable business insight
- Embed strong data governance, quality, and security standards
- Monitor platform performance, cost, and reliability against agreed SLAs
- Manage stakeholders and external suppliers to deliver data initiatives
- Lead, coach, and develop a high-performing Data DevOps team
What you'll bring:
- Technical expertise
- Strong experience in Azure data platforms (e.g. Synapse, Data Factory, Data Lake, SQL)
- Advanced SQL and experience managing enterprise data models
- Proven experience with Power BI, including data modelling and optimisation
- Expertise in data pipelines, automation, and DevOps practices (CI/CD, IaC)
- Strong understanding of data governance, data quality, and lifecycle management
- Leadership
Data Development Operations Team Manager employer: Stonewater
At Stonewater, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our remote work culture fosters flexibility and inclusivity, allowing you to thrive while contributing to meaningful data-driven initiatives. With a strong focus on employee growth, we offer ample opportunities for professional development and the chance to lead a talented team in shaping the future of our data capabilities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Development Operations Team Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and DevOps 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 platforms and Power BI. 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 technical knowledge and leadership skills. Be ready to discuss how you've implemented DevOps best practices and managed teams in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with data governance and automation to stand out.
We think you need these skills to ace Data Development Operations Team Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data DevOps Manager role. Highlight your experience with Azure data platforms and any leadership roles you've had. 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 and how you can contribute to our mission at Stonewater. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in Azure, SQL, and Power BI. We’re keen on seeing how you’ve implemented DevOps practices in your previous roles, so give us the details!
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 directly from us. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Stonewater
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of Azure data platforms, especially Synapse, Data Factory, and Data Lake. Be ready to discuss how you've used these tools in past projects, as well as your experience with SQL and Power BI. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
As a Data DevOps Manager, you'll need to lead a team. Prepare examples of how you've successfully managed teams in the past, focusing on coaching and developing talent. Highlight any specific instances where your leadership made a significant impact on project outcomes or team performance.
✨Demonstrate Your DevOps Knowledge
Be ready to dive into DevOps best practices, particularly around CI/CD and Infrastructure as Code (IaC). Discuss how you've implemented these practices in previous roles and the benefits they brought to your data solutions. This will show that you understand the importance of efficiency and automation in data operations.
✨Engage with Stakeholders
Since managing stakeholders is key in this role, prepare to talk about your experience working with various business units. Share how you've successfully communicated technical concepts to non-technical stakeholders and how you ensured their needs were met in data initiatives. This will demonstrate your ability to bridge the gap between tech and business.
