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.
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:
o Data Mesh
o Data Products
o Enterprise Data Models
o Logical and Physical Data Modelling
o Data Warehousing
o Metadata-driven architectures
o Data Fabric concepts
o Event-driven architectures
o Enterprise ingestion and transformation patterns
o Data interoperability and consumption readiness design principles.
- Cloud Data Engineering
o Google Cloud Platform
o BigQuery
o Dataproc
o Dataflow
o Cloud Composer
o Spanner
o Pub/Sub
o Dataplex
o ELT and ETL architectures
o dbt-based transformation frameworks
- AI-Enabled Engineering
o AI-assisted engineering accelerators
o RAG-based knowledge systems
o Agentic engineering solutions
o AI-driven transformation tooling
o Generative AI applications for data engineering and architecture domains
o Experience taking AI concepts from experimentation into production environments
- Delivery Management & Governance
o Portfolio governance
o Risk and dependency management
o Federated delivery enablement
o Large-scale roadmap creation
o Technology investment planning
o Organisational transformation
o Delivery assurance and executive reporting
Scope of services:
A senior technology leader capable of defining enterprise data strategy, modernising legacy data estates, delivering cloud-scale data platforms, accelerating transformation through AI, and leading large engineering organisations through complex business and technology change.
Data Engineering Lead in London employer: HCL Europe
As a leading technology firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. Located in a vibrant tech hub, we offer competitive benefits, continuous learning opportunities, and a commitment to professional growth, making us an ideal employer for those seeking to make a meaningful impact in the field of cloud-native application architecture.
