Lead Data Engineer

Lead Data Engineer - Shape the Future of Data & Analytics

I am currently recruiting for an exciting Lead Data Engineer role with a leading organisation undergoing a major digital transformation. This is a fantastic opportunity to define and lead the data engineering strategy, building a scalable, insight-driven data infrastructure that leverages AI, cloud technologies, and advanced analytics to drive business success.

• High-Impact Role: Take ownership of data platform development, ensuring scalability, reliability, and efficiency.
• Technical Innovation: Work at the intersection of AI, machine learning, and real-time analytics, integrating cutting-edge technologies.
• Leadership & Strategy: Lead a team of data engineers and analysts, collaborating with senior stakeholders to drive a data-driven culture.

• Design and implement a modern cloud data platform (Azure, AWS, or GCP) to support scalable analytics.
• Build ETL/ELT pipelines to process structured and unstructured data, enabling real-time insights.
• Develop and maintain Power BI dashboards, forecasting models, and business intelligence tools.
• Establish data governance frameworks, ensuring compliance with GDPR, ISO 27001, and security best practices.
• Partner with Finance, Marketing, IT, and Operations to integrate data solutions into business strategy.
• Drive AI and machine learning initiatives, building predictive models to improve operational efficiency.
• Mentor and lead a high-performing team, fostering a culture of continuous improvement and innovation.

• Expertise in cloud platforms (Azure, AWS, GCP) and data engineering best practices.
• Advanced proficiency in Power BI, including DAX, Power Query, and data modeling.
• Strong programming skills in Python, SQL, and/or Scala for data processing and automation.
• Experience with ETL/ELT, data warehousing, and event-driven architectures.
• Knowledge of AI/ML applications in data analytics and business intelligence.
• Proven leadership experience, with the ability to manage and mentor data engineering teams.
• Strong stakeholder engagement skills, translating complex data insights into actionable business strategies.

• STEM degree (Computer Science, Engineering, Mathematics, or related field).
• Experience in data governance, security, and compliance frameworks.
• Background in legal or professional services (advantageous but not essential).

This is a unique opportunity to lead and shape a forward-thinking data function, driving innovation and business intelligence within a high-profile organisation. If you’re passionate about data engineering, AI, and cloud technologies, I’d love to hear from you!