Data Manager
Role details
Job location
Tech stack
Job description
Data ManagerTechnical 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 forYou 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 outputsThe evolution of shared data models and event schemas, making products more consistent and easier to extendThe automation and internal tooling that improves quality and efficiency, including testing, rules engines and AI assisted workflowsYou 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 dayIn practice, you will:Own the roadmap and execution for data products spanning multiple domains such as apps, web, media, social and commerceLead teams responsible for schemas, datasets and reporting outputs used directly by customersDrive improvements to data models and event structures, reducing complexity and inconsistencyShape and prioritise work on automation and internal tools that reduce manual effort and raise qualityPartner closely with Product, Data Engineering and ML, Apps, QA and client facing teamsHire, develop and support engineers and tech leads through one to ones, feedback and career developmentEstablish and improve engineering practices around observability, data quality, documentation, incident response and service
Requirements
levelsThis role has real scope, technically, organisationally and culturally.Who this role suitsThis role is a strong fit if you:Enjoy leading engineers, not just managing workHave a solid technical background and like being able to challenge designs and assumptionsCare about building well modelled, trustworthy data productsAre comfortable balancing delivery, quality and long term platform healthLike working cross functionally and navigating real world constraintsYou will likely bring:Proven experience as an Engineering Manager or Tech Lead Manager in a data, platform or backend environmentA background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similarExperience owning or supporting analytics, data or reporting productsStrong people leadership skills including hiring, coaching and performance managementA track record of delivering complex, cross functional initiativesNice to have:Experience with automation or test toolingFamiliarity with data privacy and governance, such as GDPR or consented dataHow you will workHybrid role, Manchester basedTwo days per week in the office, the rest flexibleFlexible start and finish timesFull home working setup providedFor further details and to apply, please get in touch with jon.brass @ circlerecruitment.com Engineering Manager - Data Products /Technical Manager / Data Manager / Python / AWSCircle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.