About the Role
Join a fast-growing investment organisation at the forefront of innovation as a Data Engineer. You’ll play a key role in designing and building scalable data solutions that underpin reporting, analytics, and business decision-making. From ingestion through to modelling and integration, your work will directly support institutional reporting, automation, and business intelligence initiatives. It's a hands-on, collaborative role with plenty of opportunity to influence architecture and contribute to new ideas.
Key Responsibilities
- Design, build, and manage robust ETL pipelines and enterprise data repositories
- Analyse and model data structures to support data warehousing and BI tools
- Collaborate across teams to understand evolving data needs and deliver integrated solutions
- Monitor and optimise system performance and data quality across cloud platforms
- Support implementation of advanced analytics and machine learning models
- Proven experience designing data solutions using Azure, Snowflake, Data Factory or Databricks
- Skilled in SQL scripting and working with structured and semi-structured data (JSON, XML, etc.)
- Strong understanding of relational and dimensional modelling
- Experience delivering solutions across the full SDLC in a cloud-first environment
- Excellent communication skills and a collaborative approach to solving complex data challenges