Senior P&C Data Engineer

1. Build deliver test maintain data artefacts such as data pipelines & services (API) to serve data distribution while following standard best practices;

2. Document data artefacts (code diagrams wiki-like documentation) to secure the comprehensiveness of your work;

3. Collaborate within and outside your squad by participating to workshops or rituals (dailys sprint reviews design sessions);

4. Support the delivery of trust-worthy data pipelines that serve both transactional and analytical needs by implementing adequate tests and controls;

1. Review and coach data engineers support them by helping them to grow.

• 6 years of experience as a data engineer data oriented mindset;

• Proven experience in development and maintenance of data pipelines preferably in agile projects (Scrum and/or Kanban);

• Proven experience with Databricks and/or Palantir Foundry is a strong plus;

• Experience in (Re)insurance industry and/or Financial Services is a plus.

• Strong level in Python Pyspark and SQL ability to develop data pipelines under various platform using good practices such as parallelization distributing programing techniques decisional modeling slowly changing dimensions change data capture management;

• Good knowledge of CI/CD pipelines and Gitflows best practices;

• Knowledge of REST API development;

• Knowledge of reporting tools (e.g. Power BI) is a plus.

• Strong analytical thinking rigorous mindset solution-oriented and force of proposal;

• Team player commitment curiosity interest to challenge;

• Capacity to navigate in an international environment;

• Communication ability to speak to a wide community of stakeholders (business data IT).

• Bachelors degree in computer science software or computer engineering applied math physics statistics or a related field or equivalent experience.