
201 - 500 employees
💳 Fintech
🏦 Banking
☁️ SaaS
Fintech • Banking • SaaS
Shine is a European fintech that combines banking, accounting, payroll, and tax filing into a single SaaS platform designed to simplify financial administration for small businesses and entrepreneurs. Originating from an accounting marketplace, Shine has grown into an integrated financial ecosystem used by over 300,000 small businesses across multiple European countries, offering business banking, automated bookkeeping, payroll, invoicing, and tax services.
🕒 March 30
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201 - 500 employees
💳 Fintech
🏦 Banking
☁️ SaaS
Fintech • Banking • SaaS
Shine is a European fintech that combines banking, accounting, payroll, and tax filing into a single SaaS platform designed to simplify financial administration for small businesses and entrepreneurs. Originating from an accounting marketplace, Shine has grown into an integrated financial ecosystem used by over 300,000 small businesses across multiple European countries, offering business banking, automated bookkeeping, payroll, invoicing, and tax services.
• Tackle fraud daily by designing and deploying innovative security scenarios • Build and maintain robust data pipelines to support regulatory reporting for financial institutions • Collaborate with teams across Fraud, Compliance, Security, and Tech • Write clean, reusable, and well-documented code, conduct thorough testing • Promote best practices in software development
• At least 5+ years of backend development experience in Python • Comfortable working with a JavaScript/TypeScript environment • Hands-on experience with cloud platforms like AWS or GCP • Solid track record in building scalable, reliable, and evolutive data pipelines • Effective communicator, able to bridge the gap between technical and non-technical stakeholders • Attention to detail and deeply committed to delivering high-quality, impactful solutions • Bonus: Experience in highly regulated industries such as banking or insurance, and with fraud detection or recommendation systems • Fluent in English.
• Flexible work arrangements • Professional development
Apply Now🕒 March 18
Lead Data Engineer responsible for architecting, scaling, and maintaining data infrastructure for AI-powered advertising technology. Transforming raw data signals into actionable intelligence with a data-driven approach.
Java
Kafka
Kubernetes
NoSQL
Prometheus
Python
Scala
SQL
Go
🕒 March 17
Senior Data Engineer developing scalable data pipelines using AWS and PySpark for a tech-focused company. Collaborating with product teams to ensure robust data governance and quality.
🗣️🇫🇷 French Required
Amazon Redshift
AWS
ETL
Flux
Jenkins
MongoDB
NoSQL
PySpark
SQL
Tableau
Terraform
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Data Engineer designing and constructing data pipelines with Databricks in a multi-expert agency. Collaborating with clients on digital transformation and data-driven projects.
🗣️🇫🇷 French Required
Airflow
AWS
Azure
Cloud
Google Cloud Platform
PySpark
Python
Spark
SQL
🕒 December 1, 2025
Data Engineer designing and building data pipelines on Databricks at Devoteam. Involvement in continuous development and participation in innovative projects for various industry clients.
🗣️🇫🇷 French Required
Airflow
AWS
Azure
Cloud
Google Cloud Platform
PySpark
Python
SQL
🕒 November 25, 2025
Data Engineer building robust data pipelines on Databricks for diverse clients in digital transformation. Collaborating in an expert ecosystem focusing on cloud and data-driven solutions.
🗣️🇫🇷 French Required
Airflow
AWS
Azure
Cloud
Flux
Google Cloud Platform
PySpark
Python
SQL