Engineering Manager - Data Products
<p><b>Salary: £38,500 - 67,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment</li><li>Background in data or backend engineering, such as AWS, Python, Scala, Spark, Airflow, or similar</li><li>Experience owning or supporting analytics, data, or reporting products</li><li>Strong people leadership skills including hiring, coaching, and performance management</li><li>Track record of delivering complex, cross-functional initiatives</li><li>Nice to have: Experience with automation or test tooling</li><li>Familiarity with data privacy and governance, such as GDPR or consented data</li></ul>
<b>Responsibilities:</b>
<ul><li>Lead engineering across a set of data product teams, with responsibility for both people and outcomes</li><li>Oversee teams building and maintaining data feeds, datasets, and client-facing outputs</li><li>Guide the evolution of shared data models and event schemas for better consistency and extensibility</li><li>Drive automation and internal tooling that improves quality and efficiency, including testing and AI-assisted workflows</li><li>Own the roadmap and execution for data products spanning multiple domains such as apps, web, and commerce</li><li>Lead teams responsible for schemas, datasets, and reporting outputs used directly by customers</li><li>Shape and prioritize work on automation and internal tools that reduce manual effort and enhance quality</li><li>Partner closely with Product, Data Engineering, ML, Apps, QA, and client-facing teams</li><li>Hire, develop, and support engineers and tech leads through one-on-ones, feedback, and career development</li><li>Establish and improve engineering practices around observability, data quality, documentation, incident response, and service levels</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>Airflow</li><li>AWS</li><li>Backend</li><li>Support</li><li>Python</li><li>Scala</li><li>Spark</li><li>Web</li><li>Cloud</li><li>REST</li></ul>
<p><b>More:</b></p>
<p>We are seeking an Engineering Manager for our Data Products team. This role focuses on building strong teams, setting clear technical direction, and maturing our data platform in a sustainable manner. Located in Manchester, this hybrid role allows for two days in the office with flexible working arrangements. We provide a full home working setup, flexible start and finish times, and the opportunity to lead and support talented engineers in a collaborative environment.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment</li><li>Background in data or backend engineering, such as AWS, Python, Scala, Spark, Airflow, or similar</li><li>Experience owning or supporting analytics, data, or reporting products</li><li>Strong people leadership skills including hiring, coaching, and performance management</li><li>Track record of delivering complex, cross-functional initiatives</li><li>Nice to have: Experience with automation or test tooling</li><li>Familiarity with data privacy and governance, such as GDPR or consented data</li></ul>
<b>Responsibilities:</b>
<ul><li>Lead engineering across a set of data product teams, with responsibility for both people and outcomes</li><li>Oversee teams building and maintaining data feeds, datasets, and client-facing outputs</li><li>Guide the evolution of shared data models and event schemas for better consistency and extensibility</li><li>Drive automation and internal tooling that improves quality and efficiency, including testing and AI-assisted workflows</li><li>Own the roadmap and execution for data products spanning multiple domains such as apps, web, and commerce</li><li>Lead teams responsible for schemas, datasets, and reporting outputs used directly by customers</li><li>Shape and prioritize work on automation and internal tools that reduce manual effort and enhance quality</li><li>Partner closely with Product, Data Engineering, ML, Apps, QA, and client-facing teams</li><li>Hire, develop, and support engineers and tech leads through one-on-ones, feedback, and career development</li><li>Establish and improve engineering practices around observability, data quality, documentation, incident response, and service levels</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>Airflow</li><li>AWS</li><li>Backend</li><li>Support</li><li>Python</li><li>Scala</li><li>Spark</li><li>Web</li><li>Cloud</li><li>REST</li></ul>
<p><b>More:</b></p>
<p>We are seeking an Engineering Manager for our Data Products team. This role focuses on building strong teams, setting clear technical direction, and maturing our data platform in a sustainable manner. Located in Manchester, this hybrid role allows for two days in the office with flexible working arrangements. We provide a full home working setup, flexible start and finish times, and the opportunity to lead and support talented engineers in a collaborative environment.</p>
<p>last updated 8 week of 2026</p>