Engineering Manager - Data Products
Technical Manager / Data Manager / Python / AWS
Not every Engineering Manager role is about running sprints or firefighting delivery issues.
This one is about building strong teams, setting clear technical direction, and helping a data platform mature in a way that is sustainable, consistent and genuinely useful to customers.
You will not be coding day to day, but this is not a hands off role either. It suits an Engineering Manager who is comfortable going deep on architecture, data models and trade offs, and who enjoys working closely with senior engineers and tech leads to get the best outcomes.
What you will be responsible for
You will lead engineering across a set of data product teams, with responsibility for both people and outcomes.
That includes:
- Teams building and maintaining data feeds, datasets and client facing outputs
- The evolution of shared data models and event schemas, making products more consistent and easier to extend
- The automation and internal tooling that improves quality and efficiency, including testing, rules engines and AI assisted workflows
You will own direction and delivery across these areas, making sure teams are aligned, supported and focused on the right problems.
What you will be working on day to day
In practice, you will:
- Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social and commerce
- Lead teams responsible for schemas, datasets and reporting outputs used directly by customers
- Drive improvements to data models and event structures, reducing complexity and inconsistency
- Shape and prioritise work on automation and internal tools that reduce manual effort and raise quality
- Partner closely with Product, Data Engineering and ML, Apps, QA and client facing teams
- Hire, develop and support engineers and tech leads through one to ones, feedback and career development
- Establish and improve engineering practices around observability, data quality, documentation, incident response and service levels
This role has real scope, technically, organisationally and culturally.
Who this role suits
This role is a strong fit if you:
- Enjoy leading engineers, not just managing work
- Have a solid technical background and like being able to challenge designs and assumptions
- Care about building well modelled, trustworthy data products
- Are comfortable balancing delivery, quality and long term platform health
- Like working cross functionally and navigating real world constraints
You will likely bring:
- Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environment
- A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar
- Experience owning or supporting analytics, data or reporting products
- Strong people leadership skills including hiring, coaching and performance management
- A track record of delivering complex, cross functional initiatives
Nice to have:
- Experience with automation or test tooling
- Familiarity with data privacy and governance, such as GDPR or consented data
How you will work
- Hybrid role, Manchester based
- Two days per week in the office, the rest flexible
- Flexible start and finish times
- Full home working setup provided
For further details and to apply, please get in touch with jon.brass @ circlerecruitment.com
Engineering Manager - Data Products /Technical Manager / Data Manager / Python / AWS
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