Analytics Engineer
Required skills
Strong SQL skills, with experience writing efficient and well structured queries, Hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices, Strong understanding of dimensional modelling, Familiarity with AWS data services ( S3, Athena, Glue ), Experience with Airflow for scheduling and orchestrating workflows, Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery), A pragmatic problem solver who can balance technical excellence with business needs, Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission, Act as a technical bridge and mentor, training "builders" across the company to move from basic AI usage to sophisticated system creation
Preferred skills
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Technologies
DBT, AWS data services ( S3, Athena, Glue ), Airflow, data lakes or modern data warehouses (Snowflake, Redshift, BigQuery)
Responsibilities
Building and owning high quality dbt models, ensuring they are performant, well documented and thoroughly tested, Collaborating with Analysts and Data Scientists to understand their needs and build models that drive insights and decision making, Champion best practices for data modelling, transformation, and governance, in your immediate team and across the business, Consult on our evolving data platform, advising on the tooling, infrastructure and practices needed to enable best-in-class Analytics Engineering
Seniority
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Domain
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