Lead Data Engineer

HCLTech; Coventry; On-site; GBP 80,000 - 110,000; Full time

Job summary

HCL Technologies Limited seeks a Lead Data Engineer to steer the design and optimisation of data architectures, pipelines, and integration solutions. You will lead and mentor a team of data engineers, ensuring standards, governance, and best practices are followed to deliver data solutions that meet business needs.

You will oversee ingestion, transformation, storage, and distribution across multiple platforms while maintaining data quality, security, and compliance.

Responsibilities

• Lead the design, development, and optimisation of data architectures, pipelines, and integration solutions.
• Manage and mentor data engineers, providing technical guidance and support.
• Define and promote data engineering standards, governance, and best practices.
• Collaborate with business stakeholders, architects, analysts, and data scientists to deliver data solutions aligned to business needs.
• Oversee data ingestion, transformation, storage, and distribution processes across multiple platforms.
• Ensure data quality, integrity, security, and compliance requirements are met.
• Drive automation, performance tuning, and continuous improvement initiatives.
• Support the implementation and management of cloud-based data platforms and services.
• Monitor and resolve data-related issues, risks, and dependencies.

Job description

• Lead the design, development, and optimisation of data architectures, pipelines, and integration solutions.
• Manage and mentor data engineers, providing technical guidance and support.
• Define and promote data engineering standards, governance, and best practices.
• Collaborate with business stakeholders, architects, analysts, and data scientists to deliver data solutions aligned to business needs.
• Oversee data ingestion, transformation, storage, and distribution processes across multiple platforms.
• Ensure data quality, integrity, security, and compliance requirements are met.
• Drive automation, performance tuning, and continuous improvement initiatives.
• Support the implementation and management of cloud-based data platforms and services.
• Monitor and resolve data-related issues, risks, and dependencies.