Sr. IFRS17 Data Engineer

Job summary

Develop and maintain scalable, reliable backend systems and PySpark-based data engineering and ETL pipelines, while leading architecture, implementation, and technical decisions. Collaborate with product, engineering, DevOps, and operations teams; mentor engineers; review code; maintain technical documentation; and evaluate technologies to improve systems and processes.

Job details

Sr. IFRS17 Data Engineer "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, while leading architecture, implementation, and technical decisions. Collaborate with product, engineering, DevOps, and operations teams; mentor engineers; review code; maintain technical documentation; and evaluate technologies to improve systems and processes.

Requirements

Requires demonstrated knowledge of IFRS 17, data analysis, and the insurance domain, with expert-level SQL, Python, and PySpark skills. The role also calls for technical leadership, DevOps and CI/CD expertise, strong communication and problem-solving abilities, and experience mentoring engineers; Dataiku exposure is a plus.

Listed skills

• Technical Documentation · Preferred
• SQL · Preferred
• CI/CD · Preferred
• Problem solving · Preferred
• Data analysis · Preferred
• Python · 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
• Technical Leadership
• Architecture Design
• Code Reviews
• DevOps
• CI/CD
• Technical Documentation
• Problem-Solving
• Mentoring

Job areas

• Technology
• Data & Analytics
• Software
• Engineering
• Finance & Accounting

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