IT & Software

Data Engineering Lead

YLD

London · Greater London · United Kingdom

Overview

In this role you will be the credible technical voice on data for clients and prospects, delivering hands-on data work while shaping YLD's data practice. You will guide engagements, mentor engineers, and contribute to proposals and workshops. The position blends client-facing leadership with deep delivery, plus a chance to build the external data profile through events and writing. You will operate at the intersection of technology, business outcomes, and client relationships, in a fast-moving consultancy context.

Pay / Benefits
  • Company Private Health care
  • Enhanced maternity and paternity leave
  • Company's Pension Scheme
  • 25 days annual holiday
  • Training/Conferences allowance
  • Hardware allowance
Responsibilities
  • Hands-on data engineering work across pipelines, transformations, models, and infrastructure
  • Adapt to diverse client contexts including legacy migrations and greenfield lakehouses
  • Mentor and unblock the data engineering team as scope grows
  • Define internal data standards including testing, documentation, and code reviews
  • Grow and develop data engineers within the company
  • Join client meetings as the data authority and shape proposals and scopes
  • Escalation point on live data engagements for technical judgment
  • Travel to client sites for workshops and relationship-building
  • Represent YLD at external data events
  • Own the growth of YLD's data practice, reputation, and headcount
  • Support sales efforts to position data capabilities proactively
Key requirements
  • Strong track record in data engineering or data leadership with client-facing exposure
  • Experience leading a team or function
  • Comfort presenting to senior stakeholders and handling commercial pressure
  • Ability to translate engineering constraints into business terms
  • Willingness to build a public data presence over time
  • Hands-on delivery capability in data work from day one
  • Executive-level communication
  • Cross-functional collaboration
  • Strategic thinking and business impact orientation
  • SQL performance tuning and query planning
  • Python for production data systems (typed, testable)
  • Data modelling decisions (dimensional, Data Vault, normalised/denormalised)

Reference: WJ-747_30137893

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