Senior Data Engineer

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.

About the role:

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. 

Location:

You will be based in Lisbon, 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.

At Dashlane you will:

• Contribute to our real-time clickstream stack, using AWS Lambda and Kinesis

• Expand our third-party acquisition capabilities through Fivetran, Hightouch or custom Airflow Dags 

• Provide a dbt runtime for analysts and accompany them in building resilient transformations, keeping data governance in mind for our existing ~700 models on our daily run

• Contribute to our Airflow for orchestration environments 

• Create or use data quality tools to ensure our stakeholders have an accurate picture of what is happening on the product and with our business

• Handle the challenges that come with managing terabytes of data

• Eventually, build the next data-powered apps to keep the business secure and the insights accurate

• Build a scalable infrastructure on AWS using Terraform 

Requirements:

• You have 5+ years of experience as a data engineer, analytics engineer, or in a data-oriented software engineering role

• You have 5+ years of experience with a scripting language (preferably Python) 

• You have 4+ years experience designing and provisioning data systems from pipelines to databases

• You have 4+ years experience designing databases and/or datalake tables 

• You are fluent in English

We're Also Looking For: 

• You have a passion for sharing and communicating data insights to a broad audience with varying levels of technical expertise

• You have experience administrating, ingesting, and monitoring data in data warehouses such as Amazon Redshift 

• You are passionate about security and value users' privacy 

• You are eager to learn and be challenged continuously

• You are a self-starter who can work in a fast-paced, distributed environment, as you will be collaborating with our New York and Paris teams

• Flex Benefits - allocate a monthly amount to a pool of benefits
• Health insurance covered by Dashlane
• 5 extra vacation days each year, plus your birthday off
• Company wide well-being days (one per quarter)
• Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
• Work schedule exemption - plan your work schedule in alignment with your manager
• Donation matching program -  Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
• Access mental health services through Spring Health, available for you and your family members
• Team building & social events - weekly lunch in the office and monthly happy hour
• and much more

Diversity, Equity, Inclusion and Belonging at Dashlane:

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. 

Your interview experience: 

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.