Wise
Global technology company, building the best way to move and manage the world’s money
CRMTechnologyEngineer(Data&Platform)
Neural analysis suggests this role is
optimal for mid candidates.
“CRM Technology Engineer (Data & Platform) at Wise. Skills: Data engineering, Platform architecture, CRM systems understanding, Kafka event streams, Snowflake engineering and modelling, Activation systems, CRM platform infrastructure. Support the ingestion, transformation, and modelling of event-driven customer data within Snowflake to create and maintain CRM-ready datasets. Build and maintain reliable data flows from Kafka into Snowflake and onward into CRM activation platforms”
What You'll Achieve.
Ensure customer data is reliable, activation-ready, and easy to work with across our ecosystem; Transform raw product and customer data into trusted CRM-ready datasets, scalable activation systems, and effective CRM execution; Ensure CRM reliability; Improve reliability, scalability, and execution of CRM foundations; Improve how the team works: Help shape better data governance, QA, and operational maturity across CRM
Industry & Context.
Enjoy solving technical problems methodically; Troubleshoot technical issues across data, APIs, integrations, and platform logic; Identify and resolve issues across data architecture, integrations, campaign logic, and platform performance
What They're Looking For.
Must Have
5+ years experience working in data, CRM technology, MarTech, or platform engineering roles, SQL, data engineering, and data modelling experience, Experience working with Kafka or similar event-streaming systems, or transferable experience working with event-driven customer data within Snowflake or similar data environments, Hands-on experience working with CRM or customer engagement platforms, including campaign builds, audience logic, data structures, and platform implementation, Understand how customer data, attributes, events, and integrations power CRM systems, Comfortable troubleshooting technical issues across data, APIs, integrations, and platform logic, Approach problems methodically and enjoy working across both data systems and operational platforms, Communicate clearly and can translate technical complexity into practical solutions, Proactive about improving documentation, governance, workflows, and system reliability
Nice to Have
Snowflake or similar preferred, Braze strongly preferred, Braze technical implementation experience, Reverse ETL / activation tooling (e. g. Hightouch), API or integration engineering experience, HTML / CSS / Liquid or templating familiarity
What You'll Do.
Support the ingestion
and modelling of event-driven customer data within Snowflake to create and maintain CRM-ready datasets
Build and maintain reliable data flows from Kafka into Snowflake and onward into CRM activation platforms
Validate event payloads
and data quality before they are used for CRM targeting or personalisation
Support and improve CRM data pipelines
activation architecture
and platform integrations across Kafka
Snowflake & CRM platforms
Validate and troubleshoot customer data flows
and personalisation logic to ensure CRM reliability
Support the day-to-day technical operation
and optimisation of our CRM ecosystem
and supporting platforms
Act as a technical partner to CRM stakeholders
helping translate lifecycle and marketing requirements into scalable data and platform solutions
Identify and resolve issues across data architecture
and platform performance
Improve CRM segmentation
and activation reliability through stronger data engineering
Contribute to QA processes
operational workflows
and technical best practices
Share knowledge that improves the wider team’s understanding of CRM data and platform capabilities
and troubleshoot Braze campaigns
and platform configurations to ensure reliable CRM execution
How You'll Work.
Team & Collaboration
Act as a technical partner to CRM stakeholders, helping translate lifecycle and marketing requirements into scalable data and platform solutions; Share knowledge that improves the wider team’s understanding of CRM data and platform capabilities
Communication Scope
Communicate clearly; Translate technical complexity into practical solutions
Full 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](https://wise.jobs/our-mission) and [what we offer](https://wise.jobs/what-we-offer). We’re looking for a CRM Engineer (Data & Platform) 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: * Support the ingestion, transformation, and modelling of event-driven customer data within Snowflake to create and maintain CRM-ready datasets * Build and maintain reliable data flows from Kafka into Snowflake and onward into CRM activation platforms * Validate event payloads, schemas
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