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Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

More about and .

Job Description

We’re looking for a Senior Analytics Engineer to join our Analytics Engineering team in London.

Your Mission

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data.

At Wise, we have 170+ Analysts and 3k+ weekly active users of our Business Intelligence Tools. Analytics Engineers at Wise ensure that it is easy to find trustable data and retrieve it quickly.

Here’s how you’ll be contributing to the Analytics Experience team

Our team is committed to improving data user productivity while keeping costs sustainable.

You will work closely with Analysts at Wise.

You will focus on establishing basic infrastructure, monitoring, testing & best practices by mentoring analysts and creating a data infrastructure roadmap for the tribe.

You will support building core datasets and become the go-to expert for new data tooling and best practices, helping others adopt them.

You will assess and implement data modeling best practices at Wise in your tribe.

You can read more about our Analytics Career Map and leveling structure.

Qualifications

What we are looking for

A great communicator & an expert in cross-functional collaboration.

Ability to build empathy for stakeholders and customers and proactively solve problems.

Experience in project management and prioritization.

Strong storytelling ability with data.

Experience using orchestration tools like Airflow.

Expertise in SQL & transformation pipeline building.

Good to great Python skills (CI checks, dbt Airflow integration, interacting with APIs).

Driver of best practices regarding BI Tools like Looker or Superset.

Additional Information

What do we offer:

RSUs.

Mobile Wiser - Work abroad for up to 90 days of the year.

Paid annual holiday, sick days, parental leave, and other leave opportunities.

6 weeks of paid sabbatical after 4 years at Wise, on top of annual leave.

For everyone, everywhere. We're people building money without borders — without judgement or prejudice. We believe teams are strongest when they are diverse, equitable, and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and ensure every Wiser feels respected, empowered, and able to progress in their careers.

If you want to find out more about what it's like to work at Wise, visit our website.

Keep up to date with life at Wise by following us on social media.