
Activez les alertes d’offres d’emploi par e-mail !
A tech company in Paris seeks a Senior Data Engineer to optimize data pipelines and enhance decision-making capabilities. The ideal candidate has over 5 years of experience in data engineering, is proficient in Python, and is passionate about using data to drive insights. This position supports a hybrid working model, combining in-person collaboration with remote flexibility.
About Dashlane
Dashlane's mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally.
We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane, including how we work, how we hire, and the benefits of being a Dashlaner.
Dashlane is looking for a talented Senior Data Engineer to optimize our data to enable our company to scale in the coming years. Inside our Data Engineering team, you will be designing pipelines and warehouses to model data from multiple sources that will allow analysts to derive business and product insights. Using AWS data tools and open-source technologies, such as Airflow and dbt, you will design and build our next-generation ETL pipelines and data products.
Are you an experienced data engineer obsessed with solving complex data challenges and help us to continue to build and maintain our data infrastructure? Are you passionate about working with the latest data tools in the market, address scalability challenges, and help to democratize data that will empower everyone to take data informed decisions? Join Dashlane as a Senior Data Engineer and take part in a mission to enrich decision making with the power of data.
As a Senior Data Engineer you will be a key member of an international team committed to build and maintain our data pipeline, making sure that everyone at Dashlane has access to the datasets they need to make data informed decisions. You will work alongside a broad mix of stakeholders, mainly Analytics Engineers, but also from other teams at Dashlane, like Machine Learning Engineers, Product Managers, Engineers and Marketing. Your expertise will be instrumental in ensuring data integrity and quality, optimizing our data pipeline, helping to make decisions about our architecture. If you are passionate about leveraging cutting-edge technologies to transform raw data into actionable insights, and thrive in a collaborative and fast-paced environment, we would love to hear from you.
You will be based in Paris, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds : the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.
As a truly international company-founded in France and distributed across France, US and Portugal-Dashlane thrives off diverse perspectives. We value all aspects of diversity : gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs. See more about this here.
To know what to expect once you've sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.