Lead Data Engineer

Precise Placements; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Lead Data Engineer to spearhead the data engineering strategy during a major digital transformation. This role offers the chance to build a scalable, insight-driven data infrastructure leveraging AI and cloud technologies. You will lead a talented team, ensuring the development of a modern cloud data platform while driving innovation in data analytics. If you are passionate about data engineering and eager to shape the future of data and analytics, this opportunity is for you.

Qualifications

• Expertise in cloud platforms and data engineering best practices.
• Advanced proficiency in Power BI and strong programming skills.

Responsibilities

• Design and implement a modern cloud data platform for scalable analytics.
• Build ETL/ELT pipelines for real-time insights and develop Power BI dashboards.

Skills

Cloud Platforms (Azure, AWS, GCP)

Data Engineering Best Practices

Power BI (DAX, Power Query)

Python

SQL

Scala

ETL/ELT

Data Warehousing

AI/ML Applications

Stakeholder Engagement

Education

STEM Degree (Computer Science, Engineering, Mathematics)

Tools

Power BI

Job description

Job Description

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.

Why Apply?

• 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.

Key Responsibilities:

• 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.

Key Skills & Experience:

• 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.

Preferred Experience:

• 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!