About The Role

We are seeking a Data Engineer Team Lead to join our dynamic Tech team. The ideal candidate is an inspirational team lead, problem-solving oriented with strong analytical thinking. You will be leading a data engineering team to support the development of data pipelines amongst our IT and Data products and act as a local coordinator to ensure that our central best practices are applied.

Under the responsibility of a Lead Data Engineer, your mission will be to

Build, deliver, test, maintain data artefacts such as data pipelines & services (API) to serve data distribution while following standard best practices.
Document data artefacts (code, diagrams, wiki-like documentation) to secure the comprehensiveness of your work.
Collaborate within and outside your squad by partipipating to workshops or rituals (dailys, sprint reviews, design sessions)
Support the delivery of trust-worthy data pipelines that serve both transactional and analytical needs, by implementing adequate tests and controls.

Required experience & competencies

+3 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
Good 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 is a strong plus
Knowledge of REST API development is a plus
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

Technical Skills

Good 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 is a strong plus
Knowledge of REST API development is a plus
Knowledge of reporting tools (e.g. Power BI) is a plus

Behavioral & Management Skills

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)