Wise

Global technology company, building the best way to move and manage the world’s money

CRMTechnologyEngineer(Data&Platform)

London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Global technology company, building the best way to move and manage the world’s money
Problems you'll solve

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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