Our internal Central Data Office department is composed of technical and business data experts. Within this department, you will have the opportunity to improve your abilities while evolving within a dynamic environment and a young and multicultural team, working with the latest technologies.
We are currently looking for a Senior Data Engineer for our Data Collection team, one of the four pillars of the Data Factory Team. In the Data Factory, BI developers, data architects, data scientists and data engineers operate large data volumes from multiple data formats on many different sources to collect, extract, transfer, analyze and serve insightful results to business stakeholders.
As a Senior Data Engineer you will have the following responsibilities:
work closely with your business to identify issues and use data to propose solutions for effective decision making
build ETL pipelines using MS SSIS, IBM DataStage or Azure cloud technologies
maintain clear and coherent communication, both verbal and written, to understand data needs and report results
assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
horizon scan to stay up to date with the latest technology, techniques and methods
conduct research from which you'll develop prototypes and proof of concepts
stay curious and enthusiastic about using algorithms to solve problems and demonstrate to others the benefit of your work.
maintain and enhance the existing products while anticipating issues and communicating with stakeholders
translate business requirements to technical specifications
ensure deliverables quality setting-up CI/CD, automated tests, business tests
Master’s degree in data science, statistics, econometrics, computer science, information systems, or a similar field.
Demonstrable experience (5+ years) as a Data Engineer or Business Intelligence developer (mastering ETL and database development).
Proficiency in SQL (MS SQL preferred), knowledge of No-SQL.
Knowledge of data modeling, database design, and the data warehousing ecosystem.
Experience with Cloud Computing (e.g. Azure, GCP) is considered as an asset
Excellent analytical and problem-solving skills.
Business knowledge in fund industry is an asset
The ability to work within a multidisciplinary and multicultural team.
English and French speaking