Senior Data Engineer, Streaming

Since 2015, the company has expanded from listings into payments, shipping and seller financing. Our engineering, trust and safety, and customer support teams work across offices in Paris and several other countries. Core hours are 10 to 3, and the rest of the day is flexible.

Job summary:

We're looking for another Senior Data Engineer, Streaming to build and maintain the pipelines that feed our warehouse, dashboards and models. Hybrid: two days in the office in Marseille, the rest from home.

Key responsibilities:

• Handle PII according to retention, masking and access policies
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg
• Process large datasets with Spark on Databricks or EMR
• Manage warehouse objects, roles and spend in Snowflake, BigQuery or Redshift
• Stream events through Kafka or Kinesis into the lake and warehouse

Qualifications:

• 7+ years of data engineering, or backend work with data at volume
• Understanding of dimensional modelling and slowly changing dimensions
• Familiarity with Git, CI/CD and testing practices for data code
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift or Synapse)

Salary: €69,000 to €83,000 per year

Pay and benefits:

• Two days of remote work per week

We may close the role early, so do not wait too long to apply.

If you are shortlisted, we will reach out to set up a first call.

Duration: 6 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Mulberrywright.