Help us to build scalable, robust data systems.
Annual
payment volume at GoCardless exceeds $1 billion, and we’re processing
tens of thousands of transactions every day. As the company grows, there
is an increasing demand for the data behind these transactions, and our
ability to make sound and timely business decisions is hugely dependent
on the availability and reliability of this data.
We’re looking for a data engineer who can help us build data systems that scale with this demand.
The role
As
our first dedicated Data Engineer, you will help drive our Data
Engineering development strategy from day one. You'll be joining a team
of two Data Scientists, who sit within the wider Engineering team.
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 9.4. Our
backend technology is built in Ruby, but we use Python for our data
projects, and a fair amount of Go in our infrastructure team.
We’re
also currently implementing Tableau to give everyone at GoCardless
simple, self-service access to our data. The backend for this is a data
warehouse in Google BigQuery, which receives data via a pipeline built
using the Luigi Python library. 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.
We’ve
built a friendly, collaborative culture, where we hire and develop
ambitious people that share our desire to do work we can be proud of. We
value learning and feedback, and are committed to encouraging and
supporting each other’s continual professional growth.
Who 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:
- Strong Python skills.
- Experience designing data warehouses and assembling data pipelines.
- Familiarity with modern data warehousing tools such as Amazon RedShift and Google BigQuery.
- Computer Science degree, or equivalent experience.
- Experience with Python's core data science libraries, e.g. pandas, scikit-learn etc.
In
your application, please include your CV and a link to your GitHub, as
well as telling us about an interesting technical project or problem
that you’ve recently worked on.
Our
team come from a variety of backgrounds and we welcome diversity – if
you’re unsure, please apply. We offer a competitive salary and options
package, commensurate with your experience.
