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Data Engineer

Indefinido
Paris
Salario: No especificado
Sin trabajo a distancia

Didomi
Didomi

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El puesto

Descripción del puesto

Deepdive into the future, embrace Privacy Compliance Complexity and bring your talent to our fast growing project : building the European Privacy Tech leader. 🔥

Didomi is an innovative French company that develops a SaaS platform for privacy management. We help our customers to comply with their regulatory obligations, in particular with the European Data Protection Regulation (GDPR), and to build a relationship of trust with their customers regarding personal data. Our solutions are designed to help data protection officers (CIOs, Data Protection Officers, Legal & Compliance officers) in their daily tasks regarding privacy management. We work with leading brands like Société Générale, Orange, TF1, Deezer, Le Bon Coin, Harrods…

In 2022, Didomi acquired Agnostik to strenghten our compliance offering, in controlling and optimizing their value chain based on the use of user consent. This team has been focused on providing tools and services to assess, improve and maintain organizations' highest privacy standards over time.

Together, Agnostik and Didomi will redefine the way companies can implement, maintain and monitor their safety and compliance processes.

In that context, we are looking for a Data Engineer. This role will be dedicated to the Agnostik's team. You'll refer directly to our CTO at Agnostik.

**What you will do**

Leveraging your experience in building and maintaining complex data pipelines, you will drive the development of our analytics platform currently built on AWS Firehose/Kafka, S3, Athena, and Airflow / EMR / PySpark / TimescaleDB.

We are looking for someone who is eager to:

- Collaborate with other developers to ship new features

- Be in charge of the overall architecture of data pipelines

- Ensure that we have the right tests and structure in place to make sure that we can move quickly without breaking everything

- Share his/her knowledge of data engineering principles and best practices with the team

- Keep learning new technologies and be on the look-out for new ideas that we should try out

**What we are looking for**

- 3 years of experience as data engineer

- Experience with Spark

- Experience with complex data pipelines and orchestration in the Cloud (AWS or GCP)

- Quality-oriented mindset: testing, code reviews, code quality, etc.

- Awareness of performance considerations

- A passion for simple, maintainable and readable code that balances pragmatism and performance

**Hiring process**

- An intro call with HR

- A technical interview with the EM

- A code challenge to build a simple Spark application. This is used as the basis of discussion for the next step. You can find our challenge on https://github.com/didomi/challenges/tree/master/data.

- A 1h30 code review session and architecture discussion with 3-4 Agnostik engineers

For the architecture discussion, we ask you to sketch an architecture (think of event streams, databases, query engines, etc.) and discuss options and trade-offs as we would on a normal day at Didomi.

We understand you already have a job, obligations (and maybe a personal life!) so we'll work with you to make sure it doesn't take up too much of your time while still providing a good basis for a very concrete discussion.

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