Elevate your career as a Senior IFRS17 Data Engineer in Toronto, ON. Join a compelling role focused on data engineering, utilizing Python, PySpark, and SQL in a collaborative setting.

We are looking for a Senior IFRS17 Data Engineer who excels in the insurance sector and data analysis. Your proficiency in designing scalable backend systems and ETL pipelines will be crucial in providing technical leadership. You will work closely with cross-functional teams, enhancing the reliability and performance of our data solutions.

Key Responsibilities:



• Develop backend systems using Python and PySpark • Implement and optimize ETL pipelines for data engineering • Analyze datasets for IFRS 17 reporting and insurance needs • Lead design and architecture of software systems • Mentor and guide engineering teams across projects

Requirements: • Strong knowledge of IFRS 17 and insurance domain • Expertise in Python, PySpark, and SQL • Experience in scalable data engineering solutions • Familiar with DevOps practices and CI/CD pipelines • Excellent problem-solving and communication skills

Bring your technical expertise in data engineering and collaborative mindset to this key role in the insurance industry. #J-18808-Ljbffr

📌 Lead Data Engineer for Iin Toronto (Winnipeg)
🏢 Realign
📍 Winnipeg