Data Engineer

at  The Brattle Group Inc

The Brattle Group, a privately held, global economics consulting firm, is looking for a Data Engineer to join our Toronto office. The Data Engineer works in the data engineering team and alongside Brattle consulting teams to implement the latest technologies and provide expert guidance on technical workstreams. Responsibilities will range from researching and implementing new tools, communicating with external clients, and creating reproducible scripts to clean, process, or analyze data. Projects are wide-ranging with numerous opportunities for professional development, innovation, and growth.
We are seeking a candidate who has experience working as a Data Scientist or with applied data science experience that is interested in transitioning into a data engineering role.

Some of the day-to-day responsibilities of this role include:

• Developing processes and pipelines for cleaning, validating, and uploading data to tabular formats ex: SQL Server, Azure Databricks, or PowerBI, in collaboration with IT and project teams
• Writing reproducible scripts (Python preferred) and defining processes that will classify, clean, and visualize unstructured text data
• Researching and implementing new tools and technologies to improve or introduce capabilities
• Loading and supporting internal applications used for eDiscovery and structured text extraction
• Liaise with clients and Brattle IT to determine ideal mode of delivery of digitized data/information from client to Brattle project teams
• Maintaining an internal repository of scripts for common work to be used throughout the firm
• Grow internal knowledge base by developing and presenting training courses to consulting staff
• Keeps abreast of new tools, software, and technologies and make recommendations to project teams for future deployment

• Developing processes and pipelines for cleaning, validating, and uploading data to tabular formats ex: SQL Server, Azure Databricks, or PowerBI, in collaboration with IT and project teams
• Writing reproducible scripts (Python preferred) and defining processes that will classify, clean, and visualize unstructured text data
• Researching and implementing new tools and technologies to improve or introduce capabilities
• Loading and supporting internal applications used for eDiscovery and structured text extraction
• Liaise with clients and Brattle IT to determine ideal mode of delivery of digitized data/information from client to Brattle project teams
• Maintaining an internal repository of scripts for common work to be used throughout the firm
• Grow internal knowledge base by developing and presenting training courses to consulting staff
• Keeps abreast of new tools, software, and technologies and make recommendations to project teams for future deploymen