Who is Witco?

Founded in 2016, Witco is a Worktech solution and a EU leader in workspace management, hybrid work management, and employee experience.

From booking a desk or a meeting room, to smart office tools, lifestyle services, and access to the office community life… Witco helps employees stay connected to each other and to their company, and improves productivity and well-being at work.

Today, the app equips more than 800 buildings and is used by more than 5,000 companies worldwide such as BNP Paribas Real Estate, Axa, Dior, Vinci, Sanofi, Amundi…

After raising a €12 million Series A with top VCs Daphni and Eurazeo in 2021, we opened offices in Spain, the UK and Germany in 2022 and plan to open more countries.

Witco counts over 75 employees.

Who we are looking for We are currently looking for

A data specialist to develop and maintain our data platform: to support and enhance data architecture and data pipelines (i.e. a data engineer), and to define the optimum database schema for our datamarts (i.e. a data analyst). If you are motivated by this type of hybrid position and if you are constantly looking to improve on the products that you create, you could be a great fit for the team.

Able to develop and maintain our data platform:

support and enhance data architecture & instrumentation, define database schema, create datamarts and pipelining

Your mission in the team

Benefits

🏠 2 days remote per week

☀️ Beautiful and spacious offices in the centre of Paris with a rooftop view on the Eiffel tower!

👥 A diverse, international, and friendly team of talented people

📚 Access to training programs

🏥 Alan health mutual (covered 50% by witco)

🍽 Restaurant tickets with Swile

🎉 Bi-annual off-sites and regular Afterworks

At Witco, we are committed to an inclusive recruitment process and to fostering diversity within our teams.

Who are you?

• You have solid experience in a similar role with a proven track record of building, maintaining and optimizing data pipelines

• You have strong analytical skills and you are data-driven thinking

• You are result-oriented and focus on the value created by your development

• You have the ability to take ownership and be a technical lead to potentially lead the data engineering team in the future

• Fluent in English

Experience

• Handling of large datasets with SQL

• Monitoring and improving the scalability & reliability of data pipelines

• Creating business-oriented data models & schemas

• Designing and maintaining data architectures on the cloud (specifically on AWS)

• Deploying data architectures using IaC (specifically Terraform)

Main Technologies used

• AWS technologies:

• Athena

• S3

• Lambda functions

• Python

• SQL

Other technologies used:

• Terraform - Used to configure the infrastructure

• Nodejs - used for exports of MongoDB and communication with client app

• MongoDB - Main app data is stored on MongoDB

• Power BI - Create PowerBI dashboards with internal performance indicators.