Snowflake Jobs in Brighton

4 of 4 Snowflake Jobs in Brighton

Data Engineering Manager

Brighton & Hove, East Sussex, UK
Hybrid / WFH Options
James Chase
Expertise in large-scale data processing and pipeline optimisation Proficient in Python, SQL, and cloud platforms (AWS or similar) Hands-on with Airflow, Fivetran, Snowflake, Docker (or equivalents) Experience with real-time and batch data pipelines Ready for your next move? Apply now or send your CV across to chinmaye.ramnath More ❯
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Data Engineering Manager

Brighton And Hove, England, United Kingdom
Hybrid / WFH Options
James Chase
Expertise in large-scale data processing and pipeline optimisation Proficient in Python, SQL, and cloud platforms (AWS or similar) Hands-on with Airflow, Fivetran, Snowflake, Docker (or equivalents) Experience with real-time and batch data pipelines Ready for your next move? Apply now or send your CV across to chinmaye.ramnath More ❯
Posted:

Data Engineering Manager

Brighton, East Sussex, UK
15gifts
roadmap planning, with an openness to exploring innovative solutions like generative AI where appropriate. We work with an Airflow/AWS/Fivetran/Snowflake/Looker stack and typically use Python and Docker in our pipelines. You’ll need to be highly proficient in these or similar tools and … ELT patterns Comfortable evaluating both business and technical requirements Skilled at working with large datasets and optimising data flows Experience with Airflow, AWS, Fivetran, Snowflake, Docker (or similar) Strong in Python, SQL, and cloud platforms (AWS or comparable) Experienced in handling real-time data pipelines Experienced in evolving data pipelines More ❯
Posted:

Data Engineering Manager

Brighton, England, United Kingdom
15gifts
roadmap planning, with an openness to exploring innovative solutions like generative AI where appropriate. We work with an Airflow/AWS/Fivetran/Snowflake/Looker stack and typically use Python and Docker in our pipelines. You’ll need to be highly proficient in these or similar tools and … ELT patterns Comfortable evaluating both business and technical requirements Skilled at working with large datasets and optimising data flows Experience with Airflow, AWS, Fivetran, Snowflake, Docker (or similar) Strong in Python, SQL, and cloud platforms (AWS or comparable) Experienced in handling real-time data pipelines Experienced in evolving data pipelines More ❯
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