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Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer (dbt/Snowflake): Building scalable transformation pipelines and reliable data models for reporting, experimentation, and business decision-making with an accent on SQL, dbt, Snowflake, and data quality. Focus on optimizing warehouse performance, automating testing and monitoring, and translating business requirements into accessible data products.
Location: London, United Kingdom; hybrid working with 1–2 days per week in the Farringdon office
Salary: Up to £55,000 plus bonus
Company
An established technology business with a data platform supporting customer experience, product improvement, customer behaviour analysis, and business decision-making.
What you will do
Build, optimise, and maintain data transformation pipelines using dbt and Snowflake.
Design reusable data models for trusted reporting, analysis, experimentation, and decision-making.
Improve Snowflake warehouse performance, security, cost efficiency, and the reliability of data products.
Develop automated data quality tests, monitoring, and alerting.
Collaborate with Product, Marketing, Engineering, BI, and Data Science to deliver accessible, documented data products.
Contribute to platform improvements, including evaluating and adopting orchestration tools such as Dagster.
Requirements
Strong SQL skills, including writing and optimising complex queries.
Commercial experience using dbt to build and maintain data transformation pipelines.
Experience with Snowflake or another modern cloud data warehouse, such as BigQuery.
Experience building data models for analytics and reporting.
Familiarity with Python for automation, data manipulation, or integration tasks.
Interest in improving data quality, reliability, and performance.
Strong problem-solving and communication skills, with the ability to work collaboratively and translate business requirements into technical solutions.
Nice to have
Experience with tools in the wider technology environment, including Fivetran, Dagster, Metaplane, Tableau, AWS, Terraform, or GitHub. Experience with every listed tool is not required.
Culture & Benefits
Hybrid working with 1–2 days per week in the Farringdon office.
Opportunity to influence data models, engineering practices, and platform improvements.
Collaboration across Product, Marketing, Engineering, BI, and Data Science.
Environment focused on continuous improvement, knowledge sharing, and learning.
Base salary of up to £55,000 plus bonus.
Hiring process
Apply to find out more or contact Cameron Mason at hirify.global for a confidential conversation.
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