Team mission:

The Data Engineering team is in charge of building the Data Platform to serve Analytics and power the Spendesk Product by leveraging the Data:

- Gather the data from everywhere onto the Data Platform to build the Source of Truth

- Provide the right tooling to teams for them to access and leverage the data in a self-service fashion

- Continuously improve the platform to serve new use cases for Product and Engineering teams: currently building a Machine Learning platform to run and monitor inference models online

Your responsibilities:

- Write reliable ETL and data models to support reporting (financial, business...), product (machine learning) and operations needs (reverse ETL)

- Write and operate resilient Python applications on Kubernetes to serve online traffic

- Advocate and promote best practices at every level: Python/SQL code, data models, monitoring, security, design, infrastructure-as-code, practices...

- Anticipate growth and plan for the future: make sure the Data Platform will scale to handle more data, more online traffic, new use cases, lower latency...

- Identify and drive projects with 2+ teammates for the team to achieve its objective that will contribute to Spendesk success

Our stack:

Python, DBT, Snowflake, Airflow, Kubernetes / AWS, Fivetran, Looker

#remote opportunity

What we're looking for:

As we are an international team, please submit your application and CV in English.

Benefits:

- Exciting time to join Spendesk in terms of growth and opportunities

- Competitive compensation package with equity (everyone is an owner of the company!)

- Flexible and remote-friendly work environment

- The best equipment for your needs (Macbook Pro, secondary screen, ...)

- Internal social events (hackathon, company-wide parties, offsite, ...)

- Brand-new offices in the heart of Paris, Berlin & London

- A purple Spendesk card (for your work purchases)!

- And more!

What you can expect from the process:

1. A video call with one of our Talent Acquisition Partners to fully understand your career aspirations and answer any questions you have

2. A series of videos calls with members of the team to align on what they will expect from you, and assess your technical skills and job fit

3. A final video call with the Hiring Manager, Head-Of, or C-Level (CEO included) to review any remaining questions