Staff Data Engineer (Databricks specialist)

Role overview

Lead the architecture and delivery of enterprise data platforms for a global commercial property business. The role spans data pipelines, master data management, governance, machine learning foundations and AI-enabled workflows, with responsibility for guiding technical direction across teams.

Responsibilities

- Design cloud-based data platforms and scalable pipelines across ingestion, transformation, storage and serving. - Lead master data management, including entity resolution, trusted records, reference data and stewardship. - Integrate AI and language-model workflows, such as retrieval-augmented generation and autonomous agents, into data systems. - Build foundations for ML and AI, including feature and vector stores, embeddings, and model operations pipelines. - Create data services and APIs that make curated information available to applications, analytics and reporting teams. - Set practices for data quality, testing, observability, governance and deployment; review designs, resolve systemic issues and mentor engineers.

Requirements

- Experience leading complex, cross-team data engineering initiatives and shaping platform architecture. - Ability to build and operate distributed data platforms in a major cloud environment. - Expertise in enterprise master data management and data governance. - Experience with AI or ML data infrastructure, including language-model workflows. - Strong software engineering skills for data services, APIs and production systems. - Ability to guide engineering standards, collaborate with product and technical leaders, and mentor other engineers.

Nice to have

- Experience in commercial real estate, fintech, or operational and transaction systems. - Public technical writing, speaking or open-source contributions, particularly in data or applied AI.

Benefits and work setup

- Remote work with flexible working conditions and a globally distributed team. - Continuous learning and development opportunities.