|Salary||£100,000 + Circa 50% Bonus|
We are supporting a leading Asset Manager in their search for a Data Engineer to join their ESG research team. The position sits within the Front Office and will be responsible for developing ESG data-related solutions across the firm. This is a great opportunity for an experienced data engineer to join a firm at the cutting edge of sustainability in an intellectually stimulating and rewarding environment.
Design, build and maintain data structures, databases, and data processing pipelines to support data science projects.
Develop, maintain, and deploy important Data Science applications, including ESG Hub.
Build and maintain web scrapers, APIs, and dashboards.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources:
Handle different types of data
Ensure data quality by placing strong controls in place
Automate management data loads, scheduling of batch jobs including logging/alerts and actions
Preprocess data ready for analysis.
Support production processes.
Support and practice CI / CD principles.
Architect solutions using on prem and cloud (Azure) infrastructure.
Maintenance of development standards and procedures.
Support Data Science, IT & Security to define, develop and deliver a proportionate data management architecture and capability for the business, in-line with objectives.
The candidate must have proven relevant data engineering experience.
Strong SQL skills and experience working with both relational (Microsoft SQL Server) and non-relational databases, and familiarity with a variety of databases and datasets.
Ability to code in Python to create web scrapers, ETL processes and data analysis preprocesses.
Interested in ESG related investing and the principles it supports.
Previous experience or knowledge of handling large datasets.
Fluent in Azure technologies required - Azure Data Factory, Containers, Azure Functions, etc.
Knowledge and experience with Snowflake and/or Dataiku beneficial.
Knowledge of CI/CD and GIT principles.
Experience of working in Asset Management, as well as knowledge and/or interest in Fund Management desirable.
Exposure and understanding of Data Management and Data Governance.
Strong team player, whilst also able to work independently as required and take ownership of projects.
Flexible and adaptable.
Technology enthusiast, intellectually curious and problem solver.
Ability to work under pressure, give realistic estimates, and work to deadlines.
Strong written and verbal communication skills.
If you are an experienced Data Engineer looking to move into a more purpose-led position and you could be interested in this opportunity, then please reach out to George Roberts via firstname.lastname@example.org or apply below.