Data Engineer

Postaladdress Uk
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 110K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Airflow
Google BigQuery
Continuous Integration
Data Architecture
Data Discovery
Information Engineering
Data Governance
ETL
Data Systems
Solution Deployment Descriptor
Google Cloud Platform
Large Language Models
Data Management
Terraform

Job description

Our client is VC-based early stage GCP Partner growing 40% YoY, and they are looking for a Senior Data Engineer to join their engineering team. This is a highly customer-facing, project-based role where you will work across complex transformation programmes, partnering closely with stakeholders and cross-functional teams to deliver end-to-end data solutions.

You will take full lifecycle ownership of data engineering projects, from initial data discovery through to deployment, ensuring scalable, high-quality, and governed data platforms built on Google Cloud., * Deliver full lifecycle projects: discovery, modelling, ingestion & deployment

  • Build ETL pipelines and scalable data architectures on GCP
  • Implement data quality, governance, and validation processes
  • Collaborate with stakeholders and cross-functional teams

What you'll bring:

  • Strong client-facing and stakeholder management experience
  • Proven delivery across complex data engineering projects
  • Deep understanding of modern cloud data platforms
  • Passion for AI and emerging technologies

Why Join?

  • AI-first attitude across the organisation
  • Join a high-performing Data & AI elite team
  • Work with cutting-edge GCP and AI technologies
  • Exposure to innovative, large-scale transformation projects
  • Opportunity to work closely with leading clients and solve complex data challenges

Requirements

  • Experience in GCP Data Engineering - expertise in BigQuery and Airflow
  • Experience with Infrastructure as Code (Terraform)
  • Data quality frameworks and validation techniques
  • CI/CD pipeline development and solution deployment
  • Exposure to AI/ML tooling (Vertex AI, LangChain, LLMs)

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