Lead Data Engineer

Overview

You drive cloud‑first data transformation for clients, leading data architecture and ETL in a Google Premier Partner context. You design scalable data solutions on GCP, building data lake/warehouse hubs and ensuring data integrity. You collaborate with cross‑functional teams and stakeholders to translate requirements into robust data structures, using modern DevOps and Agile practices. This role offers hands‑on work with cutting‑edge Google data products, with scope for professional growth and accreditations.

Pay / Benefits

• competitive salary
• bonus up to 15%
• opportunities for accreditations
• tailored progression
• hybrid London office
• training time

Responsibilities

• Lead cloud transformation initiatives and own data engineering across projects
• Engage clients to gather requirements and design data structures for data warehouses
• Develop robust ETL processes to ensure data integrity
• Architect and implement a data lake/warehouse/hub on Google Cloud Platform
• Apply IAC/CI‑CD, Spark and Kafka in data pipelines
• Collaborate with cross‑functional teams and stakeholders in Agile/DevOps delivery
• Guide best practices for data governance and scalable data solutions
• Support and mentor team members to solve complex data engineering challenges

Key requirements

• expertise in data engineering and ETL on cloud platforms
• strong proficiency with Google Cloud data technologies
• experience with data warehouses/data lakes
• hands‑on experience with Spark and Kafka
• proficiency with IAC and CI/CD
• programming skills in Scala/Java/Python
• experience with Jenkins or similar CI tools
• excellent stakeholder engagement and problem‑solving abilities

• analytical mindset
• creative problem solving
• stakeholder management
• Google Cloud data technologies
• Spark
• Kafka