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.
Responsibilities
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.
Qualifications
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)