Engineering Lead - Enterprise Data Provisioning with GCP

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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