Engineering Lead - Enterprise Data Provisioning with GCP

Engineering Lead - Enterprise Data Provisioning with GCP

Consult | Greater London, ENG, GB

Posted a month ago

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Description

Job Position: Engineering Lead - Enterprise Data Provisioning with GCP


Location: London, UK(Hybrid)


Type of Hiring: Contract(6+ months)


Job Description:


Key technologies/products:



  • GCP: BigQuery, Dataproc, Dataflow, Cloud Composer, Spanner, Pub/Sub, Dataplex.


Data Architecture:



  • Data Mesh, Data Products, Enterprise Data Models, Data Fabric, Event-Driven Architecture, Data Warehousing.


Data Engineering:



  • ETL/ELT, dbt-based transformation frameworks.


AI:



  • RAG, Agentic Engineering, GenAI applications, AI-assisted engineering accelerators.


Leadership & Delivery:



  • Portfolio governance, investment planning, organisational transformation and executive reporting.


Skillsets required:


Must have experience:



  • Clear, demonstrable experience as a Head of Department/Director running all aspects of financial, people, change and stakeholder management.

  • Clear, demonstrable experience of Leading complex technology and people change across a complex, regulated matrix organisation.

  • Clear, demonstrable experience of leading large, multi-location engineering teams to achieve business desired outcomes at scale of 6 – 12 feature team Lab size.

  • Clear, demonstrable experience of architecting, developing, delivering, and transitioning at least 2 data warehouse transformations or data migrations to Cloud.

  • Establishing transformation roadmaps, intervention plans, and executive reporting structures.

  • Managing complex dependencies across technology, architecture, platform, and business teams.

  • Must have experience developing AI-led engineering teams.


Core skills:



  • Modern Data Architecture:

    • Data Mesh

    • Data Products

    • Enterprise Data Models

    • Logical and Physical Data Modelling

    • Data Warehousing

    • Metadata-driven architectures

    • Data Fabric concepts

    • Event-driven architectures

    • Enterprise ingestion and transformation patterns

    • Data interoperability and consumption readiness design principles.



  • Cloud Data Engineering:

    • Google Cloud Platform

    • BigQuery

    • Dataproc

    • Dataflow

    • Cloud Composer

    • Spanner

    • Pub/Sub

    • Dataplex

    • ELT and ETL architectures

    • dbt-based transformation frameworks



  • AI-Enabled Engineering:

    • AI-assisted engineering accelerators

    • RAG-based knowledge systems

    • Agentic engineering solutions

    • AI-driven transformation tooling

    • Generative AI applications for data engineering and architecture domains

    • Experience taking AI concepts from experimentation into production environments



  • Delivery Management & Governance:

    • Portfolio governance

    • Risk and dependency management

    • Federated delivery enablement

    • Large-scale roadmap creation

    • Technology investment planning

    • Organisational transformation

    • Delivery assurance and executive reporting




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