Lead AI Data Engineer

Position : Lead AI Data Engineer

Employment : B2B

Working model : Remote

Our client is a rapidly growing, innovation-driven real estate company with a strong focus on customer experience and sustainable asset design. Operating across the UK, Spain, Portugal, and expanding into Germany and the Netherlands, the company is committed to leveraging technology and data to enhance business decisions, asset performance, and customer service.

Their dedicated data and innovation unit is building a cloud-based, AI-enabled data platform to support smarter investment strategies and scalable data infrastructure.

Role Overview

We are currently seeking a Lead AI Data Engineer to join the team on a B2B basis. This is a hands-on, full-stack data engineering role that combines leadership, architecture, and AI / ML deployment to scale a dynamic data platform. The successful candidate will lead a small, talented team and play a critical role in shaping the technological future of real estate investment.

Responsibilities :

Lead and mentor a growing team of data engineers and analysts.

Design and implement scalable, cloud-native infrastructure (GCP) to support AI / ML-powered data solutions.

Develop and optimize end-to-end data pipelines to extract real-time, actionable insights.

Collaborate with domain experts to align data architecture with business needs.

Maintain data SLAs and ensure accessibility and usability for investment analysts and decision-makers.

Drive innovation through the deployment of GenAI and ML models to solve real business problems.

Requirements :

5+ years of hands-on experience as a Senior or Lead Data Engineer with a focus on AI / ML solutions.

Proven track record in designing, coding, and deploying scalable data architectures.

Proficiency in Python (with experience in key libraries), JavaScript, and SQL.

Strong understanding of CI / CD, cloud-native infrastructure, and back-end systems.

Master’s degree in a STEM field, preferably Data Science, Data Engineering, or Computer Science.

Demonstrated ability to coach and lead a team (3+ years of mentoring experience).

GCP certification or experience with Google Cloud Platform and its AI / ML tools is a strong plus.

Full-stack mindset with experience building robust, production-grade data pipelines.

The offer :

Full-time engagement on a B2B basis.

Competitive compensation : £6,500 – £7,500 per month.

Work remotely with minimal travel (2 days / month in London).

Work in a fast-paced, innovation-first environment with a collaborative team.

Opportunity to shape a cutting-edge data platform at the intersection of AI and real estate.

Direct collaboration with company founders and strategic stakeholders for high-impact outcomes.