AM Data Engineering

Job Brief

Lead the Data Engineering team in building, maintaining, and enhancing the organization's data platform to support reporting, analytics, and business decision-making. Responsible for managing data integration, ETL pipelines, data warehouse operations, and data quality initiatives while ensuring reliable and efficient data delivery. The role works closely with business and technology teams to support data-driven initiatives and help strengthen the organization's data capabilities for future analytics and AI use cases.analytics and future AI initiatives.

Job Responsibilities

• Lead Enterprise Data Warehouse and data platform development.
• Design and maintain scalable ETL pipelines using SSIS and Apache Airflow.
• Develop dimensional data models and optimize SQL Server databases.
• Ensure data quality, monitoring and operational support.
• Support data platform modernization and cloud migration initiatives.
• Collaborate with BI, Architecture, Infrastructure and Application teams.
• Lead, mentor and develop Data Engineers.
• Manage vendors and technical project delivery.

Job Requirements

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Information Systems, or a related field.
• Min 7 years of experience in Data Engineering, Data Warehouse, ETL Development, or a related role.
• Experience working with SQL Server, ETL processes, and data integration tools such as SSIS or Apache Airflow.
• Good understanding of data warehousing and data modelling concepts.
• Strong SQL and problem-solving skills.
• Experience supporting reporting and analytics platforms.
• Exposure to cloud data technologies (e.g., Azure, Microsoft Fabric, Snowflake) is an advantage.
• Experience leading projects, mentoring team members, or coordinating a small team is preferred.
• Good communication and stakeholder management skills.
• Ability to work collaboratively with business and technology teams.

Nice to Have

• Knowledge of Python or data automation tools.
• Experience with Azure Data Factory, Microsoft Fabric, or Snowflake.
• Experience in the financial services or regulated industry.

Diversity & Inclusion Commitment

The Company is committed to providing equal employment to all individuals regardless of their race, colour, religion, gender, sexual orientation, gender identity, national origin, age, disability, marital status or any other characteristic protected by applicable laws.

We try make sure everyone has a fair chance to work with us, no matter where they’re from or who they are. We believe having different kinds of people on our team makes us better and more creative. Our friendly environment is all about treating every person with respect and making sure everyone’s ideas count. We want people from all all walks of life to apply and be part of our mission to create a place where everyone is welcome and valued.