Senior Data Engineer (Snowflake) - 6 months FTC
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 20d ago
The date the source published, not the day we noticed it (2026-08-26). Last seen at its source just now.
Is it remote?
Anywhere in Europe
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Europe
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €75k–104k/yr
Middle 50% of 38 listings that do state pay — Engineering · Senior · Europe · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 20d ago · last seen just now
The listing
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.
- 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
- Deep Snowflake expertise, including architecture, modelling, optimisation, and performance tuning
- Strong experience with customer data platforms, identity resolution, and customer profile design
- Experience supporting CRM and customer engagement platforms such as Braze, Salesforce Marketing Cloud, Bloomreach, or Adobe Campaign
- Strong understanding of customer events, user attributes, audience segmentation, and lifecycle marketing use cases
- Experience with reverse ETL tools such as Hightouch or Census
- Strong SQL and dbt skills, with the ability to design scalable customer-centric data models
- Familiarity with consent management, privacy frameworks, and customer data governance
- Experience working with multi-channel customer engagement data across email, push, SMS, web, and app
- Ability to communicate complex customer data concepts to both technical and non-technical stakeholders
Desirable
- Experience implementing or supporting CDPs such as Segment, mParticle, Tealium, or RudderStack
- Familiarity with predictive modelling, AI-driven segmentation, or propensity scoring
- Experience working with loyalty, retail, QSR, financial services, or subscription customer datasets
- Understanding of Braze data structures, Currents, custom events, and Connected Content