Data Lead

Data Lead

Manchester Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • 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 Microsoft Azure is essential.
  • Other info: Opportunity to promote a data-first culture and mentor a talented team.

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

Data Lead employer: Woods & Wood Recruitment Ltd

As a rapidly growing organisation at the forefront of its data journey, we offer an exceptional opportunity for a Data Lead to shape our data capabilities in a dynamic and supportive environment. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth is reflected in mentorship opportunities and a focus on developing a data-first mindset across the business. With competitive benefits including a pension scheme and company bonus, joining us means being part of a forward-thinking team dedicated to driving impactful insights and innovation.
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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 into the role and may even lead to referrals or recommendations.

✨Tip Number 3

Prepare to discuss your leadership style and how you’ve successfully managed teams in the past. Highlight specific examples where you’ve driven data initiatives or fostered a data-first culture within an organisation.

✨Tip Number 4

Showcase your problem-solving skills by preparing case studies or scenarios related to data challenges. This will help you illustrate your analytical thinking and ability to address complex issues during interviews.

We think you need these skills to ace Data Lead

Data Engineering
Data Analytics
Data Architecture
SQL Proficiency
Python Programming
Microsoft Azure (Data Lakes, Blob Storage)
Databricks Expertise
Data Pipeline Development
Data Governance
Data Security and Compliance
Leadership Skills
Team Management
Problem-Solving Skills
Communication Skills
Stakeholder Engagement
Reporting Tools (e.g., Power BI)
Automation Techniques
Data Literacy Promotion
Cross-Functional Project Management

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 organisation's data journey. Mention specific examples of how you've driven data initiatives in the past and your approach to fostering a data-first culture.

Showcase Your Technical Skills: Include a section in your application that outlines your technical skills, particularly in Azure, Databricks, and data pipeline optimisation. This will demonstrate your capability to handle the responsibilities of the Data Lead role.

Highlight Leadership Experience: Since the role involves managing a growing team, be sure to highlight any previous leadership roles or experiences where you've mentored others. Discuss your approach to team management and how you promote collaboration and best practices.

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

Since the role involves engaging with both technical and non-technical stakeholders, highlight your communication skills. Share instances where you've effectively translated technical concepts for non-technical audiences or collaborated across departments.

✨Demonstrate a Data-First Mindset

The organisation is looking for someone to champion a data-first culture. Discuss how you've promoted data literacy and self-service in previous roles, and be prepared to share your vision for fostering a data-driven environment.

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