Data Engineering Manager
<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>A 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>A 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>Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social, and commerce</li><li>Drive improvements to data models and event structures, reducing complexity and inconsistency</li><li>Shape and prioritise work on automation and internal tools that reduce manual effort and raise 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>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>AI</li><li>REST</li></ul>
<p><b>More:</b></p>
<p>We are a company focused on building strong teams and maturing our data platform to be sustainable and genuinely useful to our customers. As a hybrid role based in Manchester, we offer flexible working options, with two days per week in the office and a full home working setup provided. Our team values quality, delivery, and long-term platform health, and we encourage collaboration across functions while providing opportunities for personal growth and leadership development.</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>A 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>A 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>Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social, and commerce</li><li>Drive improvements to data models and event structures, reducing complexity and inconsistency</li><li>Shape and prioritise work on automation and internal tools that reduce manual effort and raise 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>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>AI</li><li>REST</li></ul>
<p><b>More:</b></p>
<p>We are a company focused on building strong teams and maturing our data platform to be sustainable and genuinely useful to our customers. As a hybrid role based in Manchester, we offer flexible working options, with two days per week in the office and a full home working setup provided. Our team values quality, delivery, and long-term platform health, and we encourage collaboration across functions while providing opportunities for personal growth and leadership development.</p>
<p>last updated 8 week of 2026</p>