Data Engineer (1674) $70/hr

Data Engineer (1674)

 You will collaborate with Middleware/Product/Data Engineering, Data Scientists, and business stakeholders to deliver a well-managed and supported AI + Analytical Platforms ensuring their continuous improvement and refinement to meet evolving business needs and leverage the latest technological advancements 

 Who you will work with 

You'll join the Data, Analytics & AI team, a multidisciplinary group of data scientists, data analytics specialists, data engineers, and data visualization experts. Collaborating closely in this environment, you'll support the development of Generative AI applications and the delivery & management of Analytical & AI technologies.
You’ll also work directly with our Middleware & Product engineering team, Product Owners, Enterprise Architects, Software developers, and internal business team clients (Capital Markets, Private Investment, and more).
You will report to Senior Analytical Technology Manager, Data Science & Advanced Analytics 

 What you will do: 

 Your main responsibilities include building and maintaining our Analytical & AI platforms, which include Power BI/Fabric, Databricks, AI Studio, Copilot Studio, and Azure AI Services. A key part of your role will be driving user adoption through training and support, fostering a community of practice, ensuring continuous improvement, and exploring innovative ways to leverage these tools for maximum business value. 

Help to build/maintain a wholistic analytical platform that enables common services, standards, patterns, and ensuring optimal performance and usage.
Provide front-line technical support to analytical platforms through various channels.
Coordinate change management processes for the platforms.
Address planned and unplanned production issues, support the coordination, maintenance, and communication.
Identify and analyse problems and trends within the platforms, providing monitoring and reporting.
Identify and execute on improvement opportunities within the platforms.
Be able to research independently for potential solutions to problems encountered.
Design and develop automations as needed.
Play a role in various related tasks, including user story creation, end-to-end process outlining, system configuration, testing, troubleshooting.
Requirements gathering and rationalization: work cooperatively with internal stakeholders to understand and clarify platform and service needs.
Fostering the development of our business users and colleagues, maintaining a COE with up-to-date best practises, and methodologies for our various platforms.
Help to develop training materials tailored to various levels of expertise. 

 What you will need: 

Experience in industry or an academic setting of:
5+ years technical support, technical consulting experience, or information technology experience
5+ years of experience and demonstrated expertise in managing and supporting Power BI
3+ years of experience in Cloud computing
Demonstrated knowledge of RESTful API design principles and experience developing and managing APIs.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Experience and knowledge of foundational Generative AI principles such as prompt engineering, RAG, finetuning, etc and frameworks will be an asset.
Experience working in an Agile environment.
5+ years demonstrated experience with communication and interpersonal skills, including written and presentational, with the ability to work and engage with a diverse range of customers and stakeholders at all levels.
Experience documenting business processes, gathering service requirements from diverse groups of stakeholders, to inform current and future service provision.
Proven track record of staying current with technology
Problem-solving skills working in a team-based environment
Experience / Knowledge with surrounding technologies such as SharePoint, OneDrive, Teams, and wider M365 applications. 

Engineering data management (EDM)