Data Engineer
Summary
Data engineer at a London investment management firm, designing and evolving its cloud data platform: making architecture decisions, building data models and ETL/ELT pipelines, and migrating data to a new investment platform data model. Core stack is Snowflake on Azure with Python/SQL coding and CI/CD practices.
Our client is an Investment Management company based in London. This is an opportunity to be part of the design and evolution of their data platform as part of the Data Engineering team, working alongside selected vendor/service provider partners. The role is an important contributor to architecture decisions, working practices, technical design and implementation of new features. The successful candidate will actively participate in the ongoing Data Platform project, evolving and updating a fit-for-purpose architecture in accordance with business needs. This will include adoption and migration to a new Investment Platform data model and extension to the organisations parent company, enabling them to migrate their data.
Experience Required:
- Strong Snowflake as a key skill with experience of Cloud-based (preferably Azure) data platform.
- Experience within the Investment Management / Asset Management or Investment Banking sector is highly desirable. Candidates with broader financial services experience will also be considered.
- Database technologies such as Microsoft SQL Server and Oracle would be beneficial.
- Experience of implementing cloud-based distributed and scalable solutions, leveraging modern compute, storage, databases and reporting technologies.
- Understanding of CI/CD pipelines and DevOps practices for data engineering.
- Coding skills (Python, Java, SQL), and experience working with large data-sets, both on-prem and cloud-based.
- Strong technical skillset, including expertise in data modelling, experimental design, and execution.
- Understanding of data governance and data security practices.
- Experience in data integration, ETL/ELT pipeline, and automation/orchestration.
- Knowledge of cloud-based databases and associated development tools, including virtualisation and container technologies, and awareness of cost optimisation associated with their use.
- Experience in data analysis and working knowledge of common project management practices (Agile, Waterfall).
- Experience with pipeline technologies such as FiveTran and OpenFlow.
- Experience of financial applications such as Blackrock Aladdin and knowledge of investment management practices and asset class financial data preferred.