About the Role
The company is seeking a skilled and capable Data Engineer/BI Developer to join its Data Science and Artificial Intelligence Department. Reporting to the Deputy Director, the successful candidate will be instrumental in designing, developing, and implementing a modern, scalable data management and analytics solution, facilitating effective decision-making for the company in its prudential responsibilities.
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Key Responsibilities
The postholder will be responsible for but not limited to:
- Designing, developing, and implementing modern and scalable data management platforms including modern data lakes, enterprise data warehouses, and consolidated data pipelines (ETL/ELT) to extract, aggregate, and manipulate data from various sources.
- Designing, developing, and implementing end-to-end Business Intelligence (BI) solutions with data semantic models and self-service capabilities, including appealing dashboards and visualizations.
- Implementing and supporting data pipelines to deploy scalable Machine Learning solutions that are sustainable in an enterprise environment.
- Implementing and supporting DataOps pipelines.
- Collaborating with and providing technical guidance to a team of data professionals to ensure high-quality delivery of data engineering and analytics projects.
- Performing other related work and special projects as assigned by management.
Requirements
This position requires a proven technical and business background; therefore, the postholder must have:
- A master’s degree or equivalent qualification in computer science or a related field from a recognized institution or professional body.
- A minimum of seven (7) years of related experience in developing databases, end-to-end data warehouses, data analytics, and self-service BI solutions, with at least three (3) years at a senior level within the financial services business or financial regulatory body.
- Proficiency in modern data warehousing and database development (on-premises and cloud) using SQL, NoSQL, TSQL, and Python to manipulate unstructured and structured data and extract insights from large and diverse datasets; experience with the Microsoft on-premises and cloud data stack is preferred.
- Proficiency in designing, developing, and implementing end-to-end Power BI solutions with the Power BI Cloud platform, including data collection, transformation, advanced data modeling, and custom visualizations; experience with Tableau is additionally valuable.
- Experience in data engineering and regulatory application design within the financial services sector; knowledge in insurance and banking domains is considered an asset.
- Strong technical understanding of Excel/VBA, machine learning concepts, model deployment, software development life cycle practices, and Agile methodologies.
- Skilled in data storytelling, visualization, analysis, and critical thinking, alongside strong interpersonal and communication skills.
- Ability to manage multiple priorities in a fast-paced environment while fostering collaboration, team alignment, and best practices in data engineering and analytics.
Benefits and Work Environment
The company is the integrated regulator of the financial services sector, offering broad exposure to international regulatory issues, special projects, and a variety of work experiences. This role provides a challenging opportunity in a collaborative team environment.
