We’re looking for an ambitious and driven Data Engineer to join our team in building our modern scalable data platform!

Two is bringing the very best of B2C e-commerce to B2B. We’re passionate about building solutions that enable B2B Merchants to sell more, faster, and more efficiently. Growing 30% month-on-month, our goal is to become the world’s largest B2B payment solution by 2027. We’re backed by the very best VCs in the world — raised over €30m from Sequoia, Shine, Local Globe, Antler, Posten and influential angel investors in Fintech.

Two is built by a passionate and energetic team with second-time founders with successful exits. We are a small, but mighty team leading Two into new countries. We have a global mindset, but deeply understand local nuance. We are entrepreneurs at heart, problem-solving to launch new countries end to end. We are team players that execute diligently from ideation to reality. We believe in diversity in opinions and ideas and expect all employees to think like an owner.

Location

We are seeking a candidate to join our Data Engineering team based at our office in London. Our work model embraces a hybrid approach, offering employees the flexibility to work both onsite and from home.

About The Role

We are currently looking to expand our Data Team with an experienced and ambitious Data Engineer with a passion for building a highly scalable data platform!

You’d be joining a fast-paced Data Team whose mission is to empower business decisions by provisioning quality data information and ML Engineers by building scalable Feature Engineering platform. We have a data-driven culture and believe that data wealth and the ability to leverage it effectively is what sets us apart!

You will be working closely with stakeholders across business divisions to enable quality decisions based on clean, trusted, and enriched data.

This is a fantastic opportunity in one of the most exciting and fast-growing start-ups of the global Fintech industry with the mission to revolutionise B2B payments!

What You Will Be Doing

The role requires a proactive and independent individual, who understands the challenges of working in a startup, wants to own the problem, and is able to design data solutions with great attention to the quality of products being delivered. Your main responsibilities will be to:

• Lead the design and implementation of a scalable and reliable data platform at Two
• Scale our Data Analytics platform across the company in the most cost-effective way
• Help establish a data culture across the business by implementing a self-serve data platform
• Build pipelines to enrich internal data with data from 3rd parties by using different integration tools such as Airflow, Airbytes, etc.
• Be the key player in architecting and building our Feature Engineering and Feature Store platforms to be leveraged by the Data Science and Machine Learning teams
• Ensure quality of data delivered to end user
  

Technologies We Use:

• Our foundational core products run as micro-services on Kubernetes
• Python and Golang for our back-end applications
• PostgreSQL, BigQuery, Spark for distributed data storage and compute
• Two cloud infrastructure is hosted on Google Cloud Platform
• Our CI/CD pipeline consists of Github Actions, Helm and Terraform