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- Tasks: Lead the development of data capabilities and manage a growing team.
- Company: Join a rapidly growing organisation on an exciting data journey.
- Benefits: Enjoy hybrid work, a pension, company bonuses, and additional perks.
- Why this job: Shape the future of data in a dynamic environment with impactful insights.
- Qualifications: Experience in leading data teams, SQL, Python, and Azure expertise required.
- Other info: Opportunity to promote a data-first culture and drive innovation.
The predicted salary is between 43200 - 72000 £ per year.
An organisation who have grown exponentially over the past decade, and looking to grow again significantly over the next 5 years, are at a relatively early stage of their Data journey and are looking for a Data Lead to join them and create a robust Data Facility.
The Data Lead will drive the development of the organisation’s data capabilities, managing a growing team and overseeing the design, delivery, and governance of data infrastructure, pipelines, and analytics solutions. This role sets and executes the data vision across the business, ensuring timely, accurate, and actionable insights through collaboration, best practices, and strong leadership.
They will manage and mentor the Data Team, define the data infrastructure roadmap, and champion a data-first culture—promoting data literacy, self-service, and alignment with business priorities. The role includes overseeing the development and optimisation of scalable data pipelines, translating business needs into effective data models, and maintaining a robust reporting environment using tools such as Power BI.
The Data Lead will ensure consistency and quality of data across systems, maintain and evolve Azure-based architecture and integrations, and lead automation efforts to increase efficiency. Monitoring platform usage and cost, addressing complex data issues, and promoting documentation and knowledge sharing are also key responsibilities. The role requires regular engagement with both technical and non-technical stakeholders to support decision-making and insight delivery.
Requirements:
- Candidates will ideally have experience leading data teams and cross-functional projects, with a strong background in data engineering, analytics, or architecture.
- Proficiency in SQL and Python is essential, along with expertise in Microsoft Azure (Data Lakes, Blob Storage), Databricks, and modern data tooling.
- Strong communication, leadership, and problem-solving skills are vital.
Desirable:
- Microsoft Azure Data Engineer Associate certification and knowledge of data governance, security, and compliance.
Hybrid Role, Pension, Company Bonus, +Additional Benefits
Contact Detail:
Woods & Wood Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and analytics. Being well-versed in current technologies and methodologies will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the data industry, especially those who have experience in leading data teams. Engaging in conversations can provide valuable insights and may even lead to referrals or recommendations for the role.
✨Tip Number 3
Showcase your leadership skills by sharing examples of how you've successfully managed teams or projects in the past. Highlighting your ability to mentor and guide others will resonate well with the hiring team.
✨Tip Number 4
Prepare to discuss your experience with Microsoft Azure and other relevant tools during interviews. Being able to articulate your hands-on experience with Azure Data Lakes, Databricks, and SQL will set you apart from other candidates.
We think you need these skills to ace Data Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, analytics, and leadership. Emphasise your proficiency in SQL, Python, and Microsoft Azure, as well as any experience managing teams or projects.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how you can contribute to the company's data journey. Mention specific examples of how you've driven data initiatives in previous roles and your vision for promoting a data-first culture.
Showcase Your Technical Skills: Include a section in your application that outlines your technical skills, particularly in Azure-based architecture, data pipelines, and tools like Power BI. This will demonstrate your capability to meet the job requirements effectively.
Highlight Leadership Experience: Since the role involves managing a growing team, be sure to highlight any leadership or mentoring experience you have. Discuss how you've successfully led teams or projects, focusing on collaboration and achieving business goals.
How to prepare for a job interview at Woods & Wood Recruitment Ltd
✨Showcase Your Leadership Skills
As a Data Lead, you'll be managing a team, so it's crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams in the past, focusing on mentoring and developing talent within your team.
✨Highlight Technical Proficiency
Make sure to discuss your experience with SQL, Python, and Microsoft Azure. Be ready to provide specific examples of projects where you've used these technologies to solve complex data issues or improve data infrastructure.
✨Emphasise Collaboration and Communication
This role requires regular engagement with both technical and non-technical stakeholders. Prepare to discuss how you've effectively communicated complex data concepts to diverse audiences and fostered collaboration across departments.
✨Demonstrate a Data-First Mindset
The organisation is looking for someone to champion a data-first culture. Be prepared to share your vision for promoting data literacy and self-service within the company, along with strategies you've implemented in previous roles.
