Lead Data Engineer: Build Ground-Up Data Platform + Equity

Harrington Starr; Greater London; On-site; GBP 78,000 - 130,000; Full time

Job summary

Harrington Starr is seeking a Lead Data Engineer in London to own data architecture from the ground up for an AI-native platform. This high-growth, early-stage business offers significant ownership and equity, with a live product and real customer demand.

You will design scalable data pipelines (batch and real-time), work with vector databases and ML workflows, and collaborate with AI, Backend and Product teams.

Responsibilities

• Design and build the company’s core data architecture
• Build scalable batch and real-time data pipelines
• Create the infrastructure powering both the core platform and AI products
• Work with structured and unstructured data at scale
• Build data workflows supporting machine learning and AI applications
• Work with modern data stores, including vector databases
• Own data quality, reliability, monitoring and performance
• Define the tooling, standards and best practices for Data Engineering
• Work closely with AI, Backend and Product Engineering
• Help build and shape the future Data Engineering team

Job description

Harrington Starr is seeking a Lead Data Engineer in London to own data architecture from the ground up for an AI-native platform. This high-growth, early-stage business offers significant ownership and equity, with a live product and real customer demand.

You will design scalable data pipelines (batch and real-time), work with vector databases and ML workflows, and collaborate with AI, Backend and Product teams.