Lead Data Engineer Job Description and Responsibilities

The Lead Data Engineer is responsible for leading the design, delivery and ongoing operation of robust, scalable data solutions. This role is suitable for experienced data engineers who have demonstrable leadership experience, strong technical judgement and a consistent focus on data quality and stakeholder outcomes.

Lead Data Engineer Job Profile

The Lead Data Engineer oversees the end to end data lifecycle and drives the technical direction for data architecture and engineering practices. The role combines hands-on engineering with team leadership, establishing standards for data pipelines, modelling, testing and deployment while ensuring solutions meet business requirements.

The purpose of the role is to deliver reliable, well governed data assets and to mentor and develop engineering capability across the organisation. The Lead Data Engineer translates business needs into scalable data solutions and ensures operational stability of data services.

Lead Data Engineer Job Description

The Lead Data Engineer leads the planning, design and implementation of data pipelines and models that support analytics, reporting and operational systems. This includes owning technical specifications, validating requirements with stakeholders and ensuring solutions are performant, maintainable and documented. The role requires close collaboration with data scientists, analysts and product owners to prioritise work and align on data definitions.

In this role you will define and enforce engineering best practice for data quality, testing, monitoring and deployment. You will lead code reviews, establish repeatable processes for delivery and work with architecture and governance functions to maintain compliance and data lineage. The position involves balancing strategic initiatives with operational responsibilities, including troubleshooting incidents and optimising data flows.

The Lead Data Engineer is expected to mentor engineers, set technical direction, estimate and plan delivery, and communicate progress and risks to senior stakeholders. Continuous improvement of the data platform, automation of manual work and fostering a culture of accountability for data quality are central expectations.

Lead Data Engineer: Duties and Responsibilities

• Lead design and build of reliable, scalable data pipelines and integration processes to support analytics and operational needs.
• Define and maintain data architecture and modelling standards that support consistent business metrics and reporting.
• Own data quality strategy including validation rules, testing frameworks and incident response procedures.
• Establish and enforce best practices for code review, version control and deployment for data engineering work.
• Collaborate with business stakeholders to translate requirements into technical specifications and delivery plans.
• Mentor and develop a team of data engineers, providing technical guidance and performance feedback.
• Implement monitoring and alerting to maintain operational availability and performance of data services.
• Manage data lineage, metadata and documentation to support transparency and governance.
• Optimise data processing for performance and cost efficiency while maintaining data integrity.
• Drive continuous improvement initiatives to automate manual tasks and improve delivery velocity.
• Plan capacity and scalability needs for data storage and processing to meet forecasted demand.
• Coordinate cross-functional delivery with analytics, engineering and product teams to ensure alignment.
• Ensure compliance with organisational policies and relevant regulatory requirements for data handling.
• Produce clear technical reports and present progress, risks and recommendations to senior leaders.

Lead Data Engineer: Requirements and Qualifications

• Degree in computer science, software engineering, mathematics, or a related technical discipline or equivalent experience.
• Proven experience in data engineering with progressive responsibility and at least several years in a senior or lead role.
• Demonstrable experience designing and delivering scalable data pipelines and data models.
• Strong programming skills and proficiency in data query languages and scripting for data processing.
• Solid understanding of data modelling, database design and data storage concepts.
• Experience implementing data quality, testing and monitoring practices for production systems.
• Knowledge of data governance, metadata management and regulatory considerations for data use.
• Proven ability to lead, mentor and grow engineering teams and to manage stakeholder expectations.
• Excellent analytical skills and a methodical approach to problem solving and performance tuning.
• Strong verbal and written communication skills with the ability to present technical matters to non-technical audiences.
• Experience with CI/CD principles and automated deployment practices for data assets.
• Ability to prioritise work, manage competing demands and deliver against deadlines in a dynamic environment.
• Commitment to documentation, reproducibility and repeatable engineering processes.