About the job

At CV-Library, we have a simple vision: to help the world to work and we are looking for exceptional and talented people to help us realise this vision in both UK and overseas markets.

We are in a period of focused internal investment, following a year of key strategic acquisitions and significant investment across all parts of the business from Tech and Data to People and HR, there's never been a more exciting time to join us or a better place to grow your career!

The Role

Hours: Monday-Friday 9:00-17:30

Location: Fleet, Hampshire

Working Pattern: Hybrid - 2 days on site per quarter

The Lead Data Engineer is a critical role in the successful design and implementation of data solutions and projects and the overall platform governance. We are looking for an experienced Data Engineering Lead to lead the development, reliability and evolution of CV-Library's data engineering capability.

This is a hands-on leadership role. You will be responsible for setting the technical direction of the Data Engineering function while remaining close to the engineering work, designing solutions, reviewing architecture and code, improving our data platform, and helping the team deliver reliable, scalable data products.

Responsibilities

Define and drive the technical strategy for our AWS-based data platform and Data Engineering function
Lead the design and delivery of scalable, reliable and cost-effective data solutions
Build and optimise modern batch and real-time data pipelines to support business growth
Own and evolve our data architecture, ensuring scalability, performance and maintainability
Champion engineering best practices, including code reviews, technical standards and architectural governance
Develop robust data models and datasets that power reporting, analytics, product insights and machine learning
Drive improvements in data quality, observability, monitoring and platform reliability
Lead the adoption of Infrastructure as Code, CI/CD and automation across the data platform
Work closely with analysts, data scientists and business stakeholders to turn data requirements into impactful solutions
Evaluate and implement new technologies, including AWS AI services, to enhance platform capabilities
Lead incident resolution, root cause analysis and continuous improvement initiatives
Mentor and develop a team of Data Engineers, fostering a culture of technical excellence, ownership and collaboration

Requirements

Strong commercial experience in Data Engineering, with experience leading or mentoring engineers
Strong experience designing and building cloud-based data platforms, ideally on AWS
Excellent SQL skills and strong experience with analytical data modelling
Strong hands-on experience with dbt in a production environment
Experience building and operating production-grade data pipelines
Strong Python development skills
Experience with data warehouses such as Amazon Redshift
Experience with orchestration technologies such as Apache Airflow
Experience with infrastructure as code, ideally Terraform
Good understanding of CI/CD and modern software engineering practices
Experience working with both batch and event-driven/streaming data
Strong understanding of data quality, monitoring, observability and operational reliability
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
A pragmatic approach to engineering: knowing when to build, when to improve and when to keep things simple
We are actively committed to promoting a fully diverse and inclusive workforce and we welcome applications for this role from all candidates who meet the key requirements. Please do not hesitate to get in touch should you require any reasonable adjustments to assist with your application.

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Responsibilities

About the job

At CV-Library, we have a simple vision: to help the world to work and we are looking for exceptional and talented people to help us realise this vision in both UK and overseas markets.

The Role

Hours: Monday-Friday 9:00-17:30

Location: Fleet, Hampshire

Working Pattern: Hybrid - 2 days on site per quarter

Responsibilities

Define and drive the technical strategy for our AWS-based data platform and Data Engineering function
Lead the design and delivery of scalable, reliable and cost-effective data solutions
Build and optimise modern batch and real-time data pipelines to support business growth
Own and evolve our data architecture, ensuring scalability, performance and maintainability
Champion engineering best practices, including code reviews, technical standards and architectural governance
Develop robust data models and datasets that power reporting, analytics, product insights and machine learning
Drive improvements in data quality, observability, monitoring and platform reliability
Lead the adoption of Infrastructure as Code, CI/CD and automation across the data platform
Work closely with analysts, data scientists and business stakeholders to turn data requirements into impactful solutions
Evaluate and implement new technologies, including AWS AI services, to enhance platform capabilities
Lead incident resolution, root cause analysis and continuous improvement initiatives
Mentor and develop a team of Data Engineers, fostering a culture of technical excellence, ownership and collaboration

Requirements

Strong commercial experience in Data Engineering, with experience leading or mentoring engineers
Strong experience designing and building cloud-based data platforms, ideally on AWS
Excellent SQL skills and strong experience with analytical data modelling
Strong hands-on experience with dbt in a production environment
Experience building and operating production-grade data pipelines
Strong Python development skills
Experience with data warehouses such as Amazon Redshift
Experience with orchestration technologies such as Apache Airflow
Experience with infrastructure as code, ideally Terraform
Good understanding of CI/CD and modern software engineering practices
Experience working with both batch and event-driven/streaming data
Strong understanding of data quality, monitoring, observability and operational reliability
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders
A pragmatic approach to engineering: knowing when to build, when to improve and when to keep things simple
We are actively committed to promoting a fully diverse and inclusive workforce and we welcome applications for this role from all candidates who meet the key requirements. Please do not hesitate to get in touch should you require any reasonable adjustments to assist with your application.