Develop and Maintain Transformation best practices in ELT Pipelines.
Design, develop, and maintain efficient and scalable workflows using tools like dbt.
Implement best-practice data modelling and software engineering techniques.
Write comprehensive data quality checks, tests, and monitoring scripts.
Work closely with Data Analysts and business users to understand their reporting needs.
Collaborate with Data Engineers on data ingestion strategies.
Tune and optimise SQL queries and data models.
Champion the adoption of modern data stack tools and practices.
Build scalable, compelling data visualisations in Looker.

3+ years of experience in a data-focused role (e.g., Analytics Engineer, Data Analyst, BI Developer).
Expert-level proficiency in writing and optimising complex SQL queries.
Hands-on experience with dbt (Data Build Tool) or similar data transformation frameworks.
Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift.
Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques.
Proficiency with Git for collaborative development and version control.
Familiarity with reporting/BI tools like Looker.

Analytics Engineer

Key skills