Senior Data Engineer - Snowflake/Adobe...

The Change Partners - Global talent specialists for a connected world
London, England
12 months ago
Applications closed

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Job Description The Change Partners are currently
working with an iconic and global tier-1 Brand who are looking to
bring in a Senior Data Engineer. The Senior Data Engineer will be
responsible for integration and wider platform operations across
Snowflake, Adobe Experience Platform and Segmentation. Key
responsibilities: - Own and implement new data cleanroom platforms.

  • Develop infrastructure, requirements and dependencies for data
    platform integration. - Define the transfer of optimal data and
    storage within Snowflake. - Ensure smooth operations of cleanroom
    platforms (managing, enhancement and support) to align with
    Snowflake CRM Campaigns. - Activate platform features and capture
    customer data for campaign delivery. - Stakeholder management to
    ensure controls and processes are in place. - Develop documentation
    and process workflows across Uk and European businesses. -
    Extraction of data, validity and integrity checks. - Develop and
    maintain data pipelines from databases to data cleanroom
    environments. Your background: - At least 5 years of experience
    within data: engineering, integration and/or platform management. -
    Hands-on experience with Adobe Experience Platform/CDP, Snowflake
    and Customer/Audience Segmentation. - Strong experience with data
    cleanroom architecture and cloud ETL tools. - Worked with data
    modelling, SQL and Python previously. - Able to lead on security
    assessments. Please apply for further information.

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Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.