Paddle offers SaaS companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we're a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It's faster, safer, cheaper, and, above all, way better.
We're backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 3000 software sellers in 245 territories globally.
The Role:
As a Senior Data Engineer at Paddle, you will be responsible for delivering technical solutions to implement our data strategy. You'll work closely with cross-functional teams to build secure data pipelines and transform data for effective analysis. We're looking for an analytics-focused data engineer with a passion for building quality, robust data models that optimize processes and enable decision-making across the company.
What you'll do:
Build and maintain efficient, secure data pipelines to ensure smooth data flow across the organization.
Develop and maintain data models to enable self-service analytics, supporting consistent, accurate reporting and data governance.
Collaborate with cross-functional teams to understand data requirements and develop solutions that meet both immediate and long-term business needs.
Assist internal teams with operational data support requests, ensuring they have reliable, timely access to the data they need.
Use various techniques, including advanced aggregations and data wrangling methods, to transform raw data into analytics-ready, well-documented, and highly maintainable datasets that empower data-driven decision-making.
Ensure data accuracy, completeness, and consistency by implementing quality checks and resolving issues proactively.
Implement DevOps practices to deploy and maintain code in production environments.
Stay up-to-date with the latest industry trends, tools, and technologies related to data engineering.
We'd love to hear from you if you have:
Advanced SQL and data modeling skills, including experience with dbt and data warehousing solutions (e.g., Snowflake, BigQuery).
Good knowledge of database management systems such as SQL, NoSQL, and columnar databases.
Experience working with orchestration frameworks, like Airflow.
Experience with CI/CD pipelines in a data engineering context, applying version control, testing, and automation best practices.
Experience with cloud-based platforms such as AWS, GCP, or Azure.
Experience with data integration tools like Fivetran, Meltano, Airbyte, Stitch, or similar.
Familiarity with BI tools such as Looker, Tableau, Sisense, or comparable.
Strong attention to detail to identify and resolve data quality issues.
Strong collaboration and communication skills to work effectively with cross-functional teams and convey complex data concepts to diverse stakeholders.
Everyone is welcome at Paddle
At Paddle, we're committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don't care if, or where, you studied, what you look like or where you're from. We're more interested in your craft, curiosity, passion for learning and what you'll add to our culture. We encourage you to apply even if you don't match every part of the job ad, especially if you're part of an underrepresented group.
Please let us know if there's anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We're committed to building a diverse team where everyone feels safe to be their authentic self. Let's grow together.
Why you'll love working at Paddle
We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.
We live and breathe our values, which are:
Exceptional Together
Execute with impact
Better than Yesterday
We offer a full suite of benefits, including attractive salaries, stock options, retirement plans, private healthcare and well-being initiatives.
We are a 'digital-first' company , which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and enhanced parental leave. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.
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