Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Job Description
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 our mission and what we offer.
We’re looking for a CRM Engineer to join our CRM team in London. You’ll support our global CRM team by building, maintaining, and improving the data and platform infrastructure that powers reliable, scalable CRM.
In this role, you’ll focus on the technical foundations behind CRM, combining data engineering, platform architecture, and CRM systems understanding to ensure customer data is reliable, activation-ready, and easy to work with across our ecosystem.
You’ll work across Kafka event streams, Snowflake, Braze, internal tools, and supporting integrations to transform raw product and customer data into trusted CRM-ready datasets, scalable activation systems, and effective CRM execution.
You’ll often be the person the team turns to when something doesn’t look right, whether that’s a data inconsistency, event flow issue, customer attribute problem, integration failure, or CRM platform behaviour that doesn’t align with expectations. You enjoy solving technical problems methodically, working across systems, and improving the infrastructure that powers CRM long term.
Here’s how you’ll be contributing to the CRM team:
Build and maintain the technical foundations that power CRM across Snowflake, Braze, Hightouch and supporting platforms
Support the transformation and modelling of customer data within Snowflake to create reliable, CRM-ready datasets
Validate customer events, attributes, identifiers and data quality to ensure accurate targeting, personalisation and reporting
Support and improve CRM data pipelines, platform integrations and activation architecture
Investigate and resolve issues across customer data, campaign logic, integrations and platform performance
Support the day-to-day technical operation, implementation and optimisation of our CRM ecosystem, including Braze and supporting technologies
Partner with CRM, Engineering and Analytics teams to translate lifecycle and marketing requirements into scalable technical solutions
Improve CRM segmentation, targeting and activation reliability through stronger data quality, governance and architecture
Build, support and troubleshoot Braze campaigns, audiences, templates and platform configurations to ensure reliable CRM execution
Contribute to QA processes, documentation, operational workflows and technical best practices
Share knowledge and help raise the team's understanding of CRM technology, data and platform capabilities
This role will give you the opportunity to: 
Become an expert across one of the industry's leading CRM technology stacks, including Braze, Snowflake, Hightouch and modern data tooling
Work on the systems that power customer communications at global scale
Solve complex technical challenges across CRM data, platform architecture, integrations and activation
Shape the future of Wise's CRM technology ecosystem by improving scalability, reliability and governance
Work closely with Engineering, Analytics, Product and CRM teams to deliver high-impact customer experiences
Influence how CRM technology evolves through new capabilities, better data foundations and continuous platform improvements
About you:
You have 5+ years experience working in data, CRM technology, MarTech, or platform engineering roles
You have strong SQL, data engineering, and data modelling experience (Snowflake or similar preferred)
You have experience working with Kafka or similar event-streaming systems, or strong transferable experience working with event-driven customer data within Snowflake or similar data environments
You have hands-on experience working with CRM or customer engagement platforms (Braze strongly preferred), including campaign builds, audience logic, data structures, and platform implementation
You understand how customer data, attributes, events, and integrations power CRM systems
You’re comfortable troubleshooting technical issues across data, APIs, integrations, and platform logic
You approach problems methodically and enjoy working across both data systems and operational platforms
You communicate clearly and can translate technical complexity into practical solutions
You’re proactive about improving documentation, governance, workflows, and system reliability
Nice to have:
Braze technical implementation experience
Reverse ETL / activation tooling (e.g. Hightouch)
API or integration engineering experience
HTML / CSS / Liquid or templating familiarity
For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. 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 make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Audit details(provenance, verification trail, raw fields)
Core fields
wise:744000134740899Provenance
wiseVerification trail
This posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.
