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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Engineering Lead - Enterprise Data Provisioning with GCP employer: Consult
At Consult, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our North America team is dedicated to professional growth, offering robust training and development opportunities while working in a fast-paced, innovative environment. Join us to be part of a collaborative team that values your contributions and supports your career aspirations in the exciting MedTech sector.
