Sr. IFRS17 Data Engineer

Job summary

Develop and maintain scalable, reliable backend systems and PySpark-based data engineering and ETL pipelines. Lead technical architecture and implementation, mentor engineers, collaborate across teams on requirements and deployments, and maintain technical documentation and code quality.

Job details

"Sr. IFRS17 Data Engineer Must-Have Skills Demonstrated knowledge of IFRS17, data analysis, and the insurance domain. Expert knowledge of: Data Analysis SQL Python PySpark Develop and maintain backend systems using Python and PySpark, ensuring high performance, scalability, and reliability. Design and implement Data Engineering and ETL pipelines using PySpark. Collaborate with cross-functional teams to identify and prioritize project requirements. Mentor and guide engineers, providing technical guidance and code reviews. Lead the technical direction of the team, including: Architecture Design Implementation of software systems Collaborate with product owners to define and prioritize requirements. Develop and maintain technical documentation, including: Architecture diagrams Technical specifications Participate in code reviews, ensuring high-quality code and adherence to coding standards. Collaborate with DevOps and Operations teams for smooth deployment and operation of applications. Expertise in DevOps practices and CI/CD pipelines. Strong technical leadership, mentoring, and coaching skills. Ability to make technical decisions, prioritize tasks, and manage technical resources. Excellent communication and collaboration skills. Ability to drive technical innovation by researching and evaluating new technologies and recommending technical solutions. Strong problem-solving skills with the ability to debug complex issues. Willingness to learn new technologies and adapt to new challenges. Good to Have DATAIKU exposure. Stay up-to-date with the latest technologies and frameworks and apply this knowledge to improve existing systems and processes."

What you’ll do

Develop and maintain scalable, reliable backend systems and PySpark-based data engineering and ETL pipelines. Lead technical architecture and implementation, mentor engineers, collaborate across teams on requirements and deployments, and maintain technical documentation and code quality.

Requirements

Requires demonstrated knowledge of IFRS 17, data analysis, and the insurance domain, with expert skills in SQL, Python, and PySpark. Candidates should bring technical leadership and mentoring experience, DevOps and CI/CD expertise, strong communication and problem-solving skills, and adaptability; Dataiku exposure is an advantage.

Listed skills

• Data analysis · Preferred
• SQL · Preferred
• Python · Preferred
• CI/CD · Preferred
• Technical Documentation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• IFRS 17
• Data Analysis
• Insurance Domain Knowledge
• SQL
• Python
• PySpark
• Data Engineering
• ETL Pipelines
• Backend Systems Development
• DevOps
• CI/CD
• Technical Leadership
• Mentoring
• Software Architecture
• Technical Documentation
• Dataiku

Job areas

• Technology
• Software
• Data & Analytics
• Management & Leadership

More jobs from Zodiac Solutions, Inc