Data Engineer

What do we do?

Paddle offers SaaS companies a completely different approach to their payments infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers, taking away 100% of the pain of payments fragmentation. It’s faster, safer, cheaper, and, above all, way better.  

We have over 230+ talented employees serving over 3000 software sellers in 245 territories globally. Backed by investors including FTV Capital, Kindred, Notion, and 83North, Paddle aims to define the next wave of B2B SaaS leaders.

The role

Reporting into the Data Engineering Team Lead, you will be responsible for the delivery of technical solutions to implement Paddle’s data systems. You will collaborate with the wider engineering team and support analysts decentralized across the organization.

What you'll do

• Leverage your experience and skills to establish the best architecture.
• Work closely with decentralized analysts (Commercial, Finance, etc.) to identify requirements and develop the necessary data solutions to deliver against those requirements.
• Build, maintain and run efficient data pipelines.
• Apply data transformation logic including advanced aggregations and data wrangling techniques.
• Practise DevOps, you’re responsible for getting your code to production and maintaining it.
• Explore and use the right tools for the job, backing your choices constructively.
• Help design a stable platform to support phenomenal growth.

We'd love to hear from you if you are:

• You are a skilled Data or Software Engineer with significant proven experience working in a fast paced growing company and with a passion for Data
• Solid development background in SQL
• Experience with optimising existing SQL queries for performance improvements
• Good understanding of data modelling. Experience with Redshift and/or Snowflake is a plus
• Experience with batch processing frameworks, preferably familiarity with DBT, Apache Airflow, or similar a plus
• Experience with Fivetran, Matillion, Stitch, or similar (we use Fivetran) a plus
• Familiarity with BI tools such as Looker, Tableau, Sisense or similar
• Strong attention to detail to highlight and address data quality issues

Why you’ll love working at Paddle

We are a diverse team of 230 (and growing!) people. We care deeply about enabling a great culture which is inclusive no matter your background. We celebrate our diverse group of talented employees and we pride ourselves on our transparent, collaborative, friendly 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, pension plans, private healthcare, a health & wellbeing platform and coaching sessions. 

We are a ‘digital-first’ company, which means you can work remotely or from our amazing office if you prefer, or even a bit of both! We offer all team members unlimited holidays and 4 months paid family leave regardless of gender. We love our casual dress code, annual company retreats and much more. We truly invest in learning and will help you with your personal development, from constant exposure to new challenges, an annual learning stipend to regular internal and external training.

Equal opportunities

We believe in having diverse teams in which everyone can be their authentic self is key to our success. We encourage people from underrepresented backgrounds to apply and we don't discriminate based on race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability or age. ​Our office is wheelchair friendly and we are a family-friendly employer​.