The last two decades have seen an explosion in new payment services – from digital wallets, mobile payments, and open banking, to Buy Now Pay Later and crypto. Great for consumers! But, incredibly complex for merchants and developers. That’s where Primer comes in.

Primer is the world’s first automation platform for payments. With Primer, merchants and developers have all the underlying infrastructure and “lego blocks” they need to build the best buying experiences for their customers. Any developer can build a connection on Primer; merchants then simply ‘click and connect’ to the services they need to build their desired payment flows within their Primer dashboard.

Since starting in January 2020, we’ve raised funding from top tier investors including Accel, Balderton and Iconiq. Our all-star team from across the world of payments and fintech includes ex Braintree-PayPal, Stripe, Checkout, Tink, Recurly, TrueLayer, Paddle, Plaid, Kount and more – come and join us!

We are looking for a skilled data engineer to join our growing data team. As a Data Engineer you will be responsible for designing, building and optimising our data and data pipeline architecture, as well as improving data flow across the organisation. The ideal candidate will have a wealth of knowledge building data pipelines, data wrangling and enjoy building systems from the ground up.

At Primer the product is everything, and data will be no different. It will be used to enhance Primer’s offering, so it is vital to have a product focused mindset. The data team will be in constant communication with the domain experts from across the organisation in order to drive the product forward.

What will the role involve?

Helping to build and provision a complete data infrastructure
Creating and maintaining a hugely scalable data pipeline
Building ETL infrastructure for data across a wide range of data sources
Building analytical tools that utilise the data pipeline to provide actionable insights into operational performance, merchant efficiency and other key performance indicators
Keeping data separated and secure across national boundaries

What are we looking for?

Proven experience gained from a similar position
Experience building and optimising ‘big data’ data pipelines, architectures and data sets
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong analytical skills
Relevant experience with one or more of the following would be advantageous:
Experience with big data tools: Hadoop, Spark, Kafka, etc
Experience with relational SQL and NoSQL databases, including Postgres and DynamoDB
Experience with AWS cloud services: EC2, EMR, RDS
Experience with Data Warehouses: Redshift, Big Query, Snowflake (we use Snowflake)
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java etc.

The way we work is different at Primer

Our culture is about removing the roadblocks to doing your best work. We focus on taking initiative, letting the best ideas win, and valuing output over anything else.

Underpinning all of this is our ‘trust by default’. You’ll work remotely, wherever works best for you, have unlimited coworking access, unlimited time off, no company spending approvals, regular whole company retreats, team workations, and open access to people across the company.

We find the best thinking and work come from removing limiting assumptions. So, one of our favourite approaches to solving problems is simply: If anything is possible, then what will you do?

Our benefits:

100% remote working – work from anywhere you like, however you like 🌍
Competitive share options 📈
Unlimited holiday ✈️
Co-working space access 🗣
Team socials – quarterly workations, annual company retreats and virtual events 🥳
Laptop, screens and accessories of your choosing! 🖥
Additional £500 towards your home office setup 🪴
Unlimited learning budget 🧠
Medical insurance via SafetyWings 🩺
Location-specific benefits – pension, 401k, health insurance etc.