Data Engineer – Fintech Startup

Il y a 2 jours

Paris, Île-de-France Mett Temps plein 65 000 € - 90 000 €/an

Gratuit avec email ou Google

Enregistrez cette offre et organisez votre recherche

Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.

Enregistrer le travail Enregistrer et créer une alerte

Gratuit avec email ou Google

En continuant, vous acceptez nos Conditions d’utilisation & Politique de confidentialité.

Our client is a fast-growing fintech company building a modern cloud data platform supporting financial analytics, reporting, and AI use cases.

We're looking for a Data Engineer to work alongside the Lead Data Engineer, helping build reliable pipelines and transform complex financial data into useful, well-structured datasets.

This is an opportunity to strengthen your engineering skills, contribute to real production systems, and gradually take ownership of projects with guidance from experienced technical colleagues.

Build and maintain data pipelines using Python and SQL, while developing your skills in PySpark and Databricks.
Help ingest and process financial datasets, including company filings, market data, financial statements, news, and unstructured documents.
Develop data transformations and structured datasets for analytics, reporting, AI workflows, and downstream products.
Implement data quality checks and tests to improve accuracy, consistency, and traceability.
Support pipeline monitoring, investigate issues, and contribute to improvements in reliability and performance.
Work with the Lead Data Engineer to translate requirements into practical, maintainable solutions.
Participate in code reviews, document your work, and apply engineering best practices.
Collaborate with Data, AI, Finance, and Engineering colleagues to understand how your work supports the product.
5+years of experience in Data Engineering or a related software or analytics engineering role. Relevant internships and apprenticeships will also be considered.
Good foundations in Python and SQL, with experience applying them to practical data projects.
An understanding of ETL/ELT, relational databases, and data modelling.
Familiarity with Git and an interest in writing clean, testable, maintainable code.
A structured approach to problem-solving and attention to data accuracy.
Curiosity, a willingness to ask questions, and openness to feedback.
The ability to collaborate effectively and adapt to evolving priorities.
Exposure to Apache Spark, PySpark, or Databricks.
Familiarity with a cloud environment such as GCP, AWS, or Azure.
Experience with pipeline orchestration, automated testing, or monitoring.
An interest in financial data, fintech, or AI applications.
Previous experience in a startup or scale-up.

You don't need to have worked with every tool in our stack. We value strong fundamentals, practical experience, and the motivation to learn.

Work closely with a Lead Data Engineer and learn through hands-on development, technical discussions, and code reviews.
Contribute to production systems combining data engineering, financial analytics, and AI.
See how the pipelines and datasets you build support the product and its users.
Grow your technical skills and take on greater responsibility as you progress.
Join a collaborative startup environment with a hybrid working setup in Paris.

Data Engineer – Fintech Startup

Enregistrez cette offre et organisez votre recherche

Emplois similaires à Paris

Villes principales

Amériques

Europe

Asie / Océanie

Afrique

Data Engineer – Fintech Startup

Enregistrez cette offre et organisez votre recherche

Emplois similaires à Paris

Villes principales