Data & AI Engineer

Prism Digital; Greater London; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Equity

Job summary

Prism Digital is seeking a Data & AI Engineer in London to build scalable data pipelines, storage architectures, and vector search for an AI-powered property tech product. You’ll own data workflows, collaborate with AI engineers and backend teams, and influence architectural decisions for a growing platform.

The role demands a strong background in data engineering, SQL/NoSQL, and production-grade data systems, with four days in the Victoria office and one day remote. Equity accompanies salary.

Qualifications

• Requires a first-class technical degree from a UK top-30 university or international equivalent.

Responsibilities

• Build batch and real-time data pipelines for operations and AI features.
• Design ingest, transform, and storage of operational data.
• Develop vector search and retrieval infrastructure for AI capabilities.
• Improve data quality, reliability, security and performance.
• Support AI engineers with data systems behind training and inference.
• Establish architecture and engineering standards as the data capability grows.

Skills

Data pipelines

SQL

Python

Vector databases

Embeddings

Retrieval systems

PostgreSQL

NoSQL

Cloud platforms

Education

First-class degree in Computer Science/Mathematics/Engineering from a UK top-30 university or international equivalent

Tools

MongoDB

Qdrant

Milvus

pgvector

Spark

Airflow

Kafka

Elasticsearch

OpenSearch

Pandas

Polars

AWS

GCP

Azure

Job description

Data & AI Engineer | Python, SQL, Vector Databases | AI Property Technology Startup

• Salary: Up to £100,000 + equity
• Location: Victoria, London. Four days in the office; Wednesdays working from home
• Type: Permanent
• Education: First-class technical degree from a UK top-30 university or international equivalent
• Sponsorship: Not available. You must be able to take this role without employer sponsorship

I’m working with a funded AI startup building an intelligent assistant that handles calls, bookings, maintenance requests and operational admin for property managers.

The platform is already live with pilot customers managing over 14,000 units. With ambitious growth plans, they need a Data & AI Engineer to build the infrastructure that helps the product process information reliably and retrieve the right answers.

You’ll work closely with the Head of Engineering, AI engineers and backend developers, taking ownership of pipelines, databases and retrieval systems. You’ll have significant input into architecture, tooling and engineering standards as the company grows.

What They’re Looking For (Non-Negotiables)

• Education: A first-class degree in Computer Science, Mathematics, Engineering or a closely related technical subject from a UK top-30 university or international equivalent. This is a firm client requirement; a 2:1 or 2:2 does not meet the stated bar.
• Data engineering: Personally built and maintained live data pipelines and infrastructure.
• Databases: Strong SQL and relational database experience, ideally PostgreSQL, plus experience with NoSQL databases.
• AI data systems: Practical experience with vector databases, embeddings and retrieval systems used in production.
• Ownership: Comfortable making technical decisions, solving problems independently and following work through into production.
• Office attendance: Able to work in Victoria four days every week.
• Right to work: Able to take this permanent position without employer sponsorship.

Please make your university, degree subject and final classification clear on your CV.

What You’ll Work On

• Building batch and real-time data pipelines.
• Designing how operational data is ingested, transformed and stored.
• Developing vector search and retrieval infrastructure for AI features.
• Improving data quality, reliability, security and performance.
• Supporting AI engineers with the data systems behind training and inference.
• Establishing architecture and engineering standards as the data capability grows.
• Python, SQL and PostgreSQL
• NoSQL databases such as MongoDB
• Vector databases such as Qdrant, Milvus or pgvector
• Spark, Airflow and Kafka
• Elasticsearch / OpenSearch
• Pandas and Polars
• Cloud platforms such as AWS, GCP or Azure

You don’t need every named tool, but you do need strong production engineering experience across the core requirements.

The Working Environment

This is an intensive, early-stage environment with ambitious delivery expectations. Priorities can change quickly, responsibilities are broad, and important releases or production issues can require flexibility beyond standard office hours.

They’re looking for someone who actively wants that level of involvement and is comfortable taking responsibility for outcomes. You’ll need to enjoy building, making decisions and getting things shipped.

Why Join

• Join early enough to shape the data architecture and influence major technical decisions.
• Build infrastructure directly connected to a live AI product and real customer workflows.
• Work closely with the founders and engineering leadership.
• Take substantial ownership as the company develops its data capability.
• Receive equity alongside your salary, with the opportunity to share in the value you help create.

Data & AI Engineer | Python, SQL, Vector Databases | AI Property Technology Startup