Analytics Engineer

As an Analytics Engineer, you will:

·       Use cutting edge technology on GCP BigQuery and dbt Cloud to build world class data models to surface data to the company

·       Maintain data models and data products to service API’s and help analyst and visualisation teams to be as self-sufficient as possible without needing to worry about the data infrastructure, data transformation and data quality processes

·       Work collaboratively with data engineers on infrastructure issues, such as permissions, accounts, setup, architecture

·       Build, support and develop data models and data products in DBT

·       Build/maintain environments on DBT for all other teams

·       Train other teams on how to work with DBT

·       Work within a continual improvement process

·       <Building CI pipelines such as SQLFluff and Slim CI>

·       Help maintain product catalogues, documentation and lineage

·       Work with visualisation developers to align Looker with the modelling process / structure to keep the data quality to the highest standard and consistent

·       Are focused on business value and delivery focused

·       Are a team player and have excellent communication skills

·       Want to work in a fast-paced environment based on continual improvement principles and iteration with the ability to deploy multiple times a day

·       Have the “I am owning it” attitude

·       Have used products like Apache Airflow, DBT, Gitlab/Github, BigQuery

·       Have advanced SQL skills, python experience is a bonus

·       Have experience with YAML and Jinja

·       Attention to detail and data quality

·       Worked in a high data volume environment

·       Have experience in Data Modelling including working with denormalised data structures, testing, asserts and data cleansing

·       Have experience working on a cloud environment is essential, preferably GCP