Address
Form of work
SalaryYour Key responsibilities will be:
- Working with Data Scientists and Product Managers to enable key insights on how products are performing, and to shape product evolution
- Designing and implementing high-performance and scalable data models using tools such as Snowflake and dbt
- Designing and implementing Looker structures (e.g. views, explores) to supply analytics to users across the organisation
- Using SQL to build end-to-end data pipelines
To succeed in this role, you will have:
- 4+ years’ commercial experience as a Data Engineer, Business Intelligence Engineer (BI Engineer) or Analytics Engineer – experience in the Technology or FinTech industry is preferable
- Excellent commercial experience of data modelling, data warehousing and building end-to-end data pipelines
- 4+ years’ experience of using SQL to transform data ( ETL / ELT ), as well as experience of dbt (data build tool)
- Excellent Data Warehouse technology experience with either Snowflake, Redshift, BigQuery or similar
If you feel your experience is a fit with the above role, please apply with an up-to-date CV in the first instance
Please note: this role is a hybrid position requiring Tuesday-Thursday in the London office.
