Distinguished Data Engineer

About the role

Reports To Research & Sustainable Investing Data Engineering Lead We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. Bring your boldest ideas to our Research & Sustainable Investing Technology team and feel like you are making progress.

What you'll do

• Design, build, test, deploy and operate production-grade data pipelines for structured, semi-structured and unstructured research, sustainability and investment data
• Build AI-ready datasets for machine learning and generative AI, including feature, training and evaluation datasets, embeddings
• Engineer retrieval data flows that curate, enrich, index and serve trusted content for semantic search, vector search and LLM-based applications
• Help to develop metadata and knowledge structures, including taxonomies, ontologies, entity resolution and knowledge graphs where appropriate, to improve data discovery
• Build reusable data services and APIs that expose governed investment data to AI/ML models, applications, analytics and agentic workflows

What you need

• Machine learning
• SQL
• Python
• ETL
• LLMs
• AWS
• Any graduate

Good to have

• Data modelling
• Snowflake
• Kafka
• Spark
• Airflow
• SQL Server