S
Data Engineer (Mid-Level)
Contract type
Ongoing
Work mode
Remote · France, selected EU countries
Experience
Mid-level · 4+ years
Job description
A Data Engineer role at Semble to build, test and optimise the data pipeline powering analytics, reporting and data products, with ownership of ELT pipelines and Databricks workflows.
At a glance
- Employment
- Full-time · Employee or contractor
- Work mode
- Remote · France, selected EU countries
What you'll do
- Build and maintain ELT pipelines, monitor pipeline health and data freshness
- Write and maintain config-driven pipeline definitions and deploy workflows to Databricks across a multi-tenant environment
- Extend the modelling layer, support CI/CD and ingestion projects
- Participate in code reviews and help evolve platform standards and documentation
What we're looking for
- 3–5 years of data engineering experience
- Strong Python & SQL skills
- Experience with Apache Spark / PySpark
- Ability to monitor, troubleshoot, and resolve pipeline failures
- Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations
Nice to have
- Exposure to YAML
- Experience building analytics data models in Spark
Benefits
- Autonomy and ownership
- Work alongside an inspiring team
Apply
About Semble
Mission
Enable health professionals to amplify their impact
Key facts
- Our founders started Semble after a successful startup exit
What they value
- Impact - We do work that matters
- Human touch – We care deeply