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London, England, United Kingdom
Actively hiring, first seen by us 8 days agoDevelop performant SQL transformations in dbt for complex analytics and reporting
Optimise Snowflake credit spend and dbt build times, tuning incremental models
Administer dbt Cloud, including scheduling and job monitoring
Implement data observability processes to monitor data quality and reliability
Administer the Omni semantic layer so governed metrics reach end-users
Develop advanced and performant SQL transformations in dbt to support complex analytics and reporting needs
Optimise sql codebase for Snowflake credit spend and dbt build times, tune materialisations and incremental models
Administer and manage dbt Cloud (Fusion), including scheduling and job monitoring.
Implement and manage data observability processes and tools to monitor and ensure data quality, accuracy, and reliability.
Administer our semantic layer in Omni (Omni.co) to ensure transformed business data and governed metrics are available for end-users.
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
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Day 8
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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We are looking for an experienced Analytics Engineer to join our data team to enhance our data-platform. This role will develop advanced analytics features into our transformations layer, optimise performance, and work with data engineers to ensure scalability and robustness. Candidates for the role will have proven expertise in developing complex and performant SQL data models, with a deep understanding of dbt Core or dbt Cloud and Snowflake. The ideal candidate will have experience managing semantic layer based BI tools, such as Omni or Looker. Key Responsibilities..
Key Responsibilities.. - Develop advanced and performant SQL transformations in dbt to support complex analytics and reporting needs, ensuring optimised performance in handling large-scale data. - Optimise sql codebase for Snowflake credit spend and dbt build times, tune materialisations and incremental models, and report against build KPIs.
- Develop advanced and performant SQL transformations in dbt to support complex analytics and reporting needs, ensuring optimised performance in handling large-scale data. - Optimise sql codebase for Snowflake credit spend and dbt build times, tune materialisations and incremental models, and report against build KPIs. - Set up and manage dbt projects to ensure that the codebase is stable, scalable, and maintainable, adhering to best practices for long-term success.
Required Skills and Experience.. - Expertise in advanced SQL and data modelling techniques utilising dbt, with a strong emphasis on performant and optimised transformations for complex analytics and reporting. - Hands-on experience with Snowflake, including familiarity with its SQL dialect, performance tuning features and AI functions.
- Expertise in advanced SQL and data modelling techniques utilising dbt, with a strong emphasis on performant and optimised transformations for complex analytics and reporting. - Hands-on experience with Snowflake, including familiarity with its SQL dialect, performance tuning features and AI functions. - Experience administering dbt Cloud, setting up scalable and maintainable projects, and scheduling workflows.
- Optimise sql codebase for Snowflake credit spend and dbt build times, tune materialisations and incremental models, and report against build KPIs. - Set up and manage dbt projects to ensure that the codebase is stable, scalable, and maintainable, adhering to best practices for long-term success. - Administer and manage dbt Cloud (Fusion), including scheduling and job monitoring.
- Set up and manage dbt projects to ensure that the codebase is stable, scalable, and maintainable, adhering to best practices for long-term success. - Administer and manage dbt Cloud (Fusion), including scheduling and job monitoring. - Collaborate with data engineering teams to ensure our transformation layer integrates seamlessly with our ingestion layer, enabling end-to-end analytics pipelines.
- Hands-on experience with Snowflake, including familiarity with its SQL dialect, performance tuning features and AI functions. - Experience administering dbt Cloud, setting up scalable and maintainable projects, and scheduling workflows. - Experience working with semantic layers for BI tooling, including defining metrics and relationships, ensuring data availability, user access and performance. Omni or Looker strongly preferred.
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The Role..
We are looking for an experienced Analytics Engineer to join our data team to enhance our data-platform. This role will develop advanced analytics features into our transformations layer, optimise performance, and work with data engineers to ensure scalability and robustness.
Candidates for the role will have proven expertise in developing complex and performant SQL data models, with a deep understanding of dbt Core or dbt Cloud and Snowflake. The ideal candidate will have experience managing semantic layer based BI tools, such as Omni or Looker.
Key Responsibilities..
Required Skills and Experience..
Preferred Experience..
Benefits…
Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career.
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London, England, United Kingdom
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