Data Engineer (Developer) - Data Engineering Team

🌍 Our Vision

To be the central nervous system of the global economy

🚀 Our Mission

Become the universal key that enables the true potential of Open Finance

⚖️ Why We Exist

To enable fairer & better financial services for everyone

What we’re looking for

We are currently looking for a Java Engineer to join our Data Engineering team. Focusing on how we store, process and secure data for the rest of the business, the successful candidate will lead our efforts to ensure quality and integrity of all the company's data.

Reports to

Data Tech Lead

Who are Yapily

We’re a young company and we’re growing fast. We have offices in London, Vilnius, and we have over 165 talented individuals joining us from their homes and coworking spaces from around the world. We’re wonderfully diverse, with 27 nationalities - and counting! We continue to expand our global reach as we build the best infrastructure for our customers.

We attract people who are excited to work in a nascent and disruptive industry that will change the way we interact with financial services, forever. We’re building the infrastructure to power the global economy.

We are looking for people who don’t always know the answers but can use their skill and judgement to work beautifully within the team to create better solutions for our customers. So whichever discipline you choose, whether that’s Engineering, Product, Commercial or Operations, we hire people who want to make a difference and can roll up their sleeves to get the job done from many different backgrounds.

Responsibilities include, but are not limited to:

Developing performant message-driven applications using Java.

Working with other teams and assisting them on streaming events and metric data.

Persist data to various Databases including SQL, NoSQL or Data warehouses.

Providing other teams with data whether in the form of a stream or an API.

Working with data securely while in motion, and at rest.

Deploying and monitoring applications to the cloud.

Monitoring and investigating data anomalies, identifying lag on processing data streams and troubleshooting data disparities.

Requirements

We would love you to have:

Previous experience with Java development

Knowledge on cloud infrastructure especially GCP and AWS

Experience with any messaging technology (Kafka, GCP messaging, MQ, AWS messaging, Pulsar etc.).

Comfortable working with storage Solutions like S3, Google Cloud Storage.

Knowledge on tools like Google Monitoring, Cloudwatch, Datadog

Knowing how to protect sensitive data with tools such as DLP.

Proficient in Databases deployments and Data migrations

If you think you might be a good fit for us, but you don’t have all the experience listed here, please do apply, we are open to considering candidates with diverse skills and experience.

Interview Process

The application process consists of a 30 minute phone interview with one of our Talent Acquisition Partners, followed by video interviews with the hiring manager and various team members. There will also be a Strengths & Values conversation which will give you an opportunity to learn more about our culture and for us to understand how you like to work. You might also meet with a member of the management team and or have a short technical test depending on the role you are applying for. All interviews are held via Zoom or Google Meet currently.

We continue to work in a hybrid approach with a mix of working from home and the office.

About Yapily

Yapily is here to power a new era of financial services so that everyone can receive faster, affordable and personalised financial products.

We connect to thousands of banks using a secure open API enabling innovative companies to embed the power of open banking into their products. We provide infrastructure for industry leaders including American Express, Intuit Quickbooks, Vivid, Moneyfarm and BUX. Yapily has raised more than $69m funding and this is an incredibly exciting time to join the business as our international presence continues to scale rapidly.

Benefits