Work with cross-functional teams to create end-to-end data solutions that support our analysts and business teams.
Design, implement, and optimise a cloud-based Extract-Load-Transform (ELT) platform to reshape RVU’s data infrastructure and data warehouse.
Become an expert on handling behavioural data from more than three websites and dozens of ecommerce product areas serving millions of users every month.
Build systems that enable self-service analytics and pave the way for data science applications across our businesses.
Monitor performance metrics for how Data is produced and consumed and respond to Data incidents.

Experience building, designing, refactoring or optimising data lakes and data warehouses from a variety of data sources using data modelling techniques
Experience in Building Extract Transform and Load (ETL) pipeline (streaming / batch) using MPP frameworks (Spark, Beam or other)
Experience in orchestrating complex pipelines using Airflow, Dagster or other
Proficiency in one or more programming languages: Python, Java, GO or other
Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc)
Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other)
Nice to have:
Experience modelling and transforming data from event collection to report curation, especially for ecommerce or affiliate businesses
Experience building production grade ML pipelines
Experience using infrastructure as code (Terraform, Cloud Formation or other)
Experience using CI/CD principles

10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance)
A hybrid working approach with 2 in-office days per week and up to 22 working days per year to “work from anywhere”
Employer-matching pension contributions up to 7.5%
A one-off £300 “work from home” budget to help contribute towards a great work environment at home
Excellent maternity, paternity, shared parental, and adoption leave policy, for those key moments in your life
25 days holiday (increasing with years of employment to 30 days) + 2 days “my time” per year
Private medical cover, critical illness cover, and employee assistance programme
A healthy learning and training budget
Electric vehicle and cycle to work schemes
Free in-office gym, accessible 7 days a week
Free breakfast in the office daily
You’ll be equipped with great technology (choice of Mac or Windows)
Free access to the Calm and Peppy app for physical and mental health
Regular events
from team socials to company-wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.

Senior Software Engineer – Data

Key skills