About the Role
We are seeking a seasoned Data Engineering Manager to lead our data engineering team in building and maintaining high-quality data pipelines and self-service tools.
The ideal candidate will have a strong commercial background in data engineering, with experience managing and mentoring teams. They will be comfortable owning and delivering technical projects end-to-end, with a deep understanding of the full data lifecycle and ELT patterns.
In this role, you will be responsible for gathering use cases and requirements from stakeholders, translating them into technical requirements, and collaborating on architecture plans and data flows. You will also champion tools, standards, and best practices within the team.
You will work closely with the team to design and deliver solutions to complex problems, using your expertise in Airflow, AWS, Fivetran, Snowflake, Docker, and Python. Your excellent communication skills will enable you to effectively collaborate with stakeholders across the business.
We value diversity and encourage applications from individuals who feel they meet the majority of the criteria but may not tick every box. If you're passionate about designing and delivering solutions to complex problems, we'd love to hear from you.
Key Responsibilities
* Managing and mentoring a team of data engineers
* Serving as a subject matter expert on data engineering principles and technologies
* Gathering use cases and requirements from stakeholders
* Translating use cases, pain points, and success criteria into technical requirements
* Collaboratively developing and agreeing on architecture plans and data flows
* Building and maintaining high-quality data pipelines and self-service tools
* Writing robust, automated tests to ensure data integrity and quality
* Promoting data governance through documentation, observability, and controls
* Troubleshooting, resolving issues, and maintaining operational stability and responding to incidents
Requirements
* Proven experience managing and mentoring data engineering teams
* Strong commercial experience in a senior data engineering role
* Comfortable owning and delivering technical projects end-to-end
* Deep understanding of the full data lifecycle and ELT patterns
* Experience working with large datasets and optimizing data flows
* Proficiency in Airflow, AWS, Fivetran, Snowflake, Docker, and Python
* Excellent communication and interpersonal skills
Benefits
* Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy, and optical care)
* Life Insurance scheme
* 25 days holiday + bank holidays + birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years)
* Employee Assistance Programme (confidential counselling)
* Enhanced parental leave and pay
* Referral programme