As a Cloud Data Engineer at Pointwest, you will design, build, and maintain scalable, secure cloud data pipelines and systems to support the Insurance Business Unit. You’ll work with AWS technologies, Python, and modern data tools to ensure data quality, optimize data storage, and drive insights that delight our stakeholders.
This role is ideal for someone passionate about data engineering, cloud technologies, and continuous learning, and who thrives in a culture of Agility, Accountability, Innovation, Collaboration, and Customer Centricity—all while upholding our values of Leadership, Excellence, and Innovation.
What You'll Do
Deliver impactful data solutions that meet stakeholder needs using AWS Glue, Lambda, S3, and other services.
Develop, maintain, and optimize data pipelines and implement ETL workflows.
Collaborate with cross-functional teams to define requirements and build scalable data architectures.
Ensure data quality and security, applying best practices and compliance standards.
Support business growth by enabling advanced analytics and reporting capabilities.
Continuously improve processes through automation and optimization.
Mentor peers and grow expertise, sharing best practices and new learnings within the team.
What Success Looks Like
High stakeholder satisfaction through timely and high-quality delivery of data solutions
Reduced data processing times and optimized resource usage
Increased reuse of data pipeline components and automation
Positive peer feedback and active contribution to team learning
What You’ll Bring
At least 3 years of experience in data engineering
Strong Python skills for data handling and API integration
Proficiency in SQL and big data formats (Parquet, ORC)
Hands-on experience with AWS services like Glue, Lambda, Step Functions, IAM, S3
Knowledge of data modeling (Relational, Dimensional, NoSQL)
Experience with orchestration tools (Airflow, Dagster)
Familiarity with IaC using AWS CloudFormation or CDK
Excellent communication skills and a collaborative mindset
Nice-to-Haves
Experience with Apache Spark, data streaming tools (Kinesis, Kafka), or working in multicultural client-facing teams