At GoCardless, we’re passionate about payments. Our vision is to provide businesses with the best way to collect recurring payments, wherever they and their customers are in the world.
Today, we help over 60,000 businesses take the pain out of getting paid, so they can focus on what they do best. And through our partnerships with over 200 software providers such as Xero, Zuora, Salesforce and Quickbooks, more and more businesses are benefiting from our unique global payments platform every day. We process $15bn of payments a year across more than 30 countries, powering recurring payments for businesses worldwide, from multinational corporations to small businesses.
We’re headquartered in the UK, and backed by some of the world’s leading investors including Google Ventures, Salesforce Ventures, Balderton Capital, Accel Partners, Notion Capital and Bain Capital. Over 500 employees worldwide have decided to develop their careers with us. We’ve built a friendly, collaborative culture where we hire and develop people who share our desire to do work we can be proud of. We value learning and feedback, and support colleagues to develop in their role and more broadly in their career.
As one of our Data Engineers, you will help drive our Data Engineering development strategy from day one. You’ll play a vital role in productionising new data systems, as well as scaling and improving existing ones, such as our in-house fraud detection system. You will also work with people across technical and commercial teams to understand their data needs, and implement the best possible infrastructure to meet them.
In terms of our stack, we’re heavy users of Postgres - both our primary application database and analytics database run Postgres. Our backend technology is built in Ruby, but we use Python and Java for our data projects, and a fair amount of Go in our infrastructure team.
We’ve also implemented Looker to give everyone at GoCardless simple, self-service access to our data. The backend for this is a data warehouse in Google BigQuery. You’ll be responsible for improving, scaling and maintaining these systems, as well as leading the adoption of best practices in testing, monitoring and security.
What we’re looking for
We want to work with people who are passionate about building and maintaining reliable, performant systems, and have practical experience of doing so. You should have a solid professional background in software engineering, and a deep understanding of relational databases. Given the versatile nature of the role, we’re looking for someone who can learn fast, enjoys working with others, and is a pragmatic decision-maker.
Bonus points for:
- Strong Python or Java or Scala skills.
- Experience designing data warehouses and assembling data pipelines.
- Familiarity with modern data warehousing tools such as Google BigQuery (or alternatively Amazon RedShift).
- Computer Science degree, or equivalent experience.
- Experience with Python's core data science libraries, e.g. pandas, scikit-learn etc.
- Experience with Apache Beam.
Life at GoCardless
Diversity is hugely important to us and we welcome applications from those with disabilities and from under-represented backgrounds. Throughout our hiring and onboarding process we make any reasonable adjustments necessary to create a level playing field and continually look at how we can improve in this area. We also have active ‘employee resource groups’ (such a BEAM and Rainbow) that are supported and sponsored by members of our Exec team; they work to engage and inspire our employees on diversity & inclusion topics throughout the year.
We offer flexible working hours and remote working arrangements, enhanced parental leave and pension packages. You’ll also receive equity, because we believe having this ‘buy in’ is a vital part of building a successful business where everybody - regardless of their role - can make a valuable contribution.
Here at GoCardless we value flexibility, and throughout the challenges of the Covid-19 pandemic we've listened to our global GeeCees to gain a better understanding of the positives and negatives of working remotely (which we've been doing since March 2020).
Their feedback helped us develop our 'Adaptive Working' model, rolling out mid to late 2021. It's built around three components: days in the office, remote working, and enhanced environments. This means teams will be able to come into a GC office between one and three days per week for collaboration and teamwork, with the rest spent working remotely to enable a healthy work/life balance. We’ll also be reimagining our office environments so they enhance the collaboration and socialisation aspects our GeeCees told us they value most highly.
We continually review this approach in conjunction with the changing restrictions in each of our locations; additionally we offer support to maintain wellbeing and comfort, including subsidised home office equipment, workstation assessments and a range of remote social activities you can dip in and out of whenever you fancy.