Lead Data Consultants (AI)

TL;DR

Lead Data Consultants (AI/Data Engineering): Responsible for technical implementation and delivery of modern data systems and AI-enabled applications with an accent on end-to-end data solutions at scale and solution architecture. Focus on solving complex data problems, engaging cross-functional squads through discovery and delivery phases, and contributing to data strategy realization.

Location: London

Company

Global AI-native consultancy trusted by leading enterprises across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, powered by 600+ AI experts and partnerships with Anthropic, Databricks, AWS, OpenAI, and Microsoft.

What you will do

• Implement and deliver modern data systems and AI-enabled applications
• Solve end-to-end data problems and opportunities at scale
• Contribute to solution architecture and design
• Guide customers on their data strategy journey to success
• Engage with cross-functional squads across discovery and delivery phases for advisory, design, and implementation
• Contribute to internal initiatives like blogs and technical forums

Requirements

• Good grasp of modern data engineering including distributed systems, data streaming, and event-based architectures
• Experience with software engineering, DevOps best practices, and full SDLC for data (automation, testing, CI/CD, clean code)
• Worked with one or more cloud platforms (AWS, Azure, GCP)
• Extensive hands-on with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT), data storage (e.g. Snowflake, Redshift), and IaC (e.g. Terraform, CloudFormation)
• Software development experience with Python, Java, Scala, or Go
• Pragmatic approach to problem-solving

Nice to have

• Keen interest in modern AI/ML techniques

Culture & Benefits

• Fast-growing startup with huge career growth opportunities
• Highly competitive salary and company bonus
• Collaborative environment where every viewpoint is considered
• Financially backed for security and global expansion
• Pick your own gear (MacBooks, PCs, accessories)
• Personal learning budget for development