Data Engineer I

About Mulberrywright:

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.

The position:

This role opened up because a team member is relocating. Data engineering role supporting analysts and data scientists. Most of the work is in dbt, Airflow and the cloud warehouse. Mulberrywright needs someone who writes solid SQL and Python and treats pipelines like production software. Hybrid. You will need to be in Nice at least two days per week.

Job duties:

• Ingest data from APIs, SaaS tools and databases with Fivetran, Airbyte or custom Python
• Maintain CI for data code and review pull requests
• Work with analysts to define metrics and fix discrepancies between reports
• Tune slow queries and expensive jobs
• Stream events through Kafka or Kinesis into the lake and warehouse
• Document datasets and lineage in a catalogue such as DataHub or Atlan

Qualifications:

• 1+ years of data engineering, or backend work with data at volume
• Hands-on with an orchestration tool such as Airflow
• Working knowledge of AWS, GCP or Azure data services
• Expert SQL, including window functions and query tuning

What you get:

• Health insurance (mutuelle) covered at 60%
• Two days of remote work per week
• RTT days
• Works council (CSE) benefits
• 50% of public transport pass reimbursed

Applications are reviewed on a rolling basis.

Candidates must be eligible to work in France.

Start: Within 30 days.

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