Moneybox
Moneybox
Moneybox ir finanšu pakalpojumu uzņēmums, kas palīdz cilvēkiem pārvaldīt savas finanses, izmantojot vienu lietotni. Tā platforma apvieno uzkrāšanas, ieguldīšanas, mājokļa iegādes un pensijas plānošanas pakalpojumus, atvieglojot klientiem gan tuvāko prioritāšu, gan ilgtermiņa mērķu plānošanu. Moneybox cenšas padarīt finanšu plānošanu pieejamāku neatkarīgi no tā, ar kādu sākuma situāciju cilvēks saskaras.

Senior Data Product and Analytics Engineering Manager - London Hybrid

Lead four Analytics Engineers and set the roadmap for analytical data products at Moneybox. Build reliable, reusable data architecture supporting the company’s wealth-management platform.

Apraksts

  • Lead and develop four Analytics Engineers with varied levels of experience
  • Set technical direction, provide coaching and context, and preserve ownership of solution design and delivery
  • Steer data modelling and architecture choices, promoting reuse, simplification, and alignment with the target architecture
  • Develop engineers’ capabilities across technical practice, business analysis, architectural thinking, and data-product ownership
  • Own a prioritised Analytics Engineering roadmap spanning data models, marts, dimensions, attributes, governed metrics, and architecture improvements
  • Advance the move toward centralised, dependable, reusable data models
  • Manage analytical data products across discovery, architecture, prioritisation, delivery, quality assurance, adoption, and ongoing ownership
  • Manage dependencies across Product Engineering, Data Engineering, Insights, Reporting, and related teams
  • Anticipate upstream changes and ingestion needs to enable downstream data delivery
  • Convert stakeholder needs into suitable attributes, metrics, models, marts, or data-product improvements
  • Lead analytical data-product development within Moneybox’s Data and Insight team for its wealth-management platform

Prasības

  • At least five years of experience in data architecture and analytical data modelling
  • Practical experience with modern transformation frameworks such as dbt
  • Experience using cloud data platforms including Databricks, Snowflake, or comparable technologies
  • Background leading, mentoring, or providing technical guidance to Data or Analytics Engineers
  • End-to-end understanding of the data lifecycle, from source applications and ingestion through transformation, semantic modelling, and consumption
  • Experience managing roadmaps and balancing business, architectural, and technical priorities
  • Ability to communicate effectively with engineers and senior business stakeholders
  • Confidence designing technical solutions and explaining them to non-technical audiences
  • Substantial previous hands-on experience as a Data Engineer or Analytics Engineer
  • Clear communication skills and experience turning business problems into scalable data products and technical requirements
  • Interest in fintech and the complexities of regulated, app-first financial products
  • Ability to work independently and effectively in a fast-moving, ambiguous environment
  • Desirable: knowledge of data quality, testing, lineage, documentation, ownership, and governance practices
  • Desirable: experience in a regulated sector, preferably financial services or fintech
  • Desirable: experience with Databricks and dbt, especially building or evolving a centralised transformation and modelling layer
  • Desirable: experience coordinating dependencies across Product Engineering, Data Engineering, and Analytics teams

Priekšrocības

  • Hybrid arrangement with two days in Moneybox’s London office and three days working from home
  • Permanent employment
  • Equal-opportunity workplace with support for inclusion, diversity, and equity
  • Reasonable recruitment adjustments available to applicants
  • Applicants who are unsuccessful may be considered for other suitable vacancies unless they opt out

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