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- Tasks: Lead a team to design and optimise a cutting-edge data platform.
- Company: Join a forward-thinking company shaping the future of data-driven decision-making.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by solving business challenges with innovative data solutions.
- Qualifications: 6+ years in data engineering, strong cloud platform expertise, and leadership experience required.
- Other info: This role does not offer sponsorship.
The predicted salary is between 60000 - 84000 £ per year.
We are looking for a Data Leader to own and scale a Modern Data Platform, managing a team of Data Engineers, Data Analysts, and Data Scientists. You’ll be responsible for designing and optimising data pipelines, implementing scalable ETL processes, and ensuring data infrastructure supports both real-time and batch processing needs. The platform ingests data across multiple domains, from sales and marketing to ML-driven product features.
This role goes beyond just technical contributions; you’ll define strategy, lead teams, and collaborate across functions to deliver high-impact data solutions. You’ll work closely with product and engineering teams to ensure data is leveraged effectively, creating real value for both the business and its customers.
Key Responsibilities- Data Strategy & Platform Development: Architect and maintain a scalable, secure, and high-performance data platform. Develop a long-term AI and data strategy, balancing innovation, compliance, and ethical AI practices. Collaborate with product teams to solve real-world business challenges with data-driven insights.
- Leadership & People Development: Build and develop a high-caliber data engineering team, fostering a culture of growth and innovation. Provide mentorship and career development opportunities to help team members thrive. Promote agile best practices and drive continuous improvement in engineering processes.
- Technical Excellence & Data Governance: Ensure data quality, governance, and security across all systems. Lead the development of ML and analytical models, ensuring ethical AI implementation. Oversee efficient infrastructure management, data pipeline orchestration, and self-serve analytics capabilities.
- Proven experience (6+ years) in data engineering or data architecture, with a track record of designing and delivering scalable data solutions.
- Expertise in cloud data platforms (preferably GCP) and data warehouse implementations.
- Strong understanding of ETL/ELT pipelines, data modeling, and orchestration tools (e.g., dbt, Luigi).
- Experience in leading and developing high-performing data teams in an agile environment.
- Hands-on knowledge of data governance, security, and compliance best practices.
- Strong communication skills, able to bridge the gap between technical and non-technical stakeholders.
- Experience in monetizing data and building self-serve analytics capabilities.
- Knowledge of streaming data technologies and machine learning engineering.
- Familiarity with CI/CD, containerized computing, and SaaS product development.
This is an opportunity to take ownership of a business-critical data function, leading a team that is shaping the future of data-driven decision-making. You’ll be working in a fast-paced, forward-thinking environment where your ideas will directly impact the company’s growth and innovation.
Data Team Lead employer: Cognify Search
Contact Detail:
Cognify Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Team Lead
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and architecture, especially around cloud platforms like GCP. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data space, particularly those who have experience leading teams or working in similar roles. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could strengthen your application.
✨Tip Number 3
Prepare to discuss your leadership style and how you've successfully developed high-performing teams in the past. Be ready to share specific examples of how you've fostered a culture of growth and innovation, as this is crucial for the Data Team Lead role.
✨Tip Number 4
Showcase your ability to bridge the gap between technical and non-technical stakeholders. Think of examples where you've effectively communicated complex data concepts to diverse audiences, as this skill is essential for collaborating across functions at StudySmarter.
We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, architecture, and team leadership. Use specific examples that demonstrate your ability to design scalable data solutions and lead high-performing teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and leadership. Discuss how your background aligns with the responsibilities of the Data Team Lead role, particularly in developing data strategies and fostering team growth.
Showcase Technical Skills: Clearly outline your technical expertise in cloud data platforms, ETL/ELT processes, and data governance. Mention any hands-on experience with tools like dbt or Luigi, as well as your understanding of machine learning and analytics.
Highlight Leadership Experience: Emphasise your experience in building and mentoring data teams. Provide examples of how you've promoted agile practices and driven continuous improvement within your previous roles.
How to prepare for a job interview at Cognify Search
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data engineering and architecture. Highlight specific projects where you've designed scalable data solutions, particularly using cloud platforms like GCP. This will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Leadership Skills
Since this role involves leading a team, be ready to share examples of how you've built and developed high-performing teams in the past. Discuss your approach to mentorship and fostering a culture of growth and innovation within your team.
✨Communicate Effectively
Strong communication skills are essential for bridging the gap between technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms, as this will show your ability to collaborate across functions and deliver impactful data solutions.
✨Prepare for Strategic Discussions
This position requires defining data strategy and collaborating with product teams. Be ready to discuss your vision for a long-term AI and data strategy, including how you would balance innovation with compliance and ethical practices in data usage.
