Senior Data Engineer
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First recorded by Psst: 9 November 2026. The company's name and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- Work from anywhere
- Skills and tools
- crm, compliance
- Job type
- Contract or freelance
Read from the ad by Psst's rules. Check the full ad below before applying.
Job details
- Where you can work
- Work from anywhere
- Employment type
- Contract
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 23 October 2026
- First recorded by Psst
- 9 November 2026
- Last checked at the source
- 10 November 2026
About the job
Who Are the company?
The company is a rapidly scaling Braze and Snowflake agency on a mission to transform how digital marketing, product, and engineering teams connect. In just five years, we’ve grown at speed and are now gearing up for our next big milestone: hitting $100M in revenue. We build human experiences at scale, powered by cutting‑edge web, mobile, cloud, data, and AI technologies. If you’re excited by innovation, love solving complex challenges, and want to help shape the future of digital experiences, you’ll feel right at home here.
Every role at the company is entrepreneurial. The people who thrive here don’t just focus on their own remit — they understand the goals of the teams around them and actively contribute to the success of their colleagues, customers, and partners. We’re building a culture of ownership, collaboration, and growth, and we’re looking for people who want to make a real impact.
Who Are We Looking to Add to Our Team?
As a Senior Data Engineer, you will focus on designing and optimising Snowflake environments and customer data foundations that power CRM, personalisation, and audience activation.
This role is heavily centred around Snowflake architecture, data modelling, customer identity, segmentation, and enabling downstream tools such as Braze, Hightouch, and CDPs.
You’ll play a key role in helping clients turn fragmented customer data into actionable insights and scalable engagement strategies.
What Will You Do?
Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation
Build and optimise customer-level data structures for segmentation, personalisation, and lifecycle marketing
Translate customer engagement requirements into scalable Snowflake models and CDP-ready schemas
Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools
Work with identity resolution, consent frameworks, event tracking, and customer profile unification
Support clients in building customer 360 views and improving audience readiness across channels
Optimise Snowflake performance, cost efficiency, and scalability across large datasets
Ensure data quality, governance, and compliance across customer-facing data models
Collaborate closely with CRM, CDP, analytics, and marketing teams to ensure data supports business use cases
What Makes You a Great Fit
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