Senior Data Engineer - Uswitch

Hybrid - 2 days per week in office (London Bridge/Tower Bridge area)

At RVU we combine the close-knit and agile environment of a startup, with the know-how, technology and backing of a well-established company.

Our mission is to empower people to make confident decisions. With our unique set of brands, Uswitch, Confused.com, Money.co.uk and Mojo, we have the power to reach millions of consumers and the technology to deliver a world class online experience for them.

The role:

Data Engineers at RVU work to bridge the gap between our data-producing systems and our insight-driven analytics by close relationships with the teams that run our business. 

As a Data Engineer you will shape the implementation of the best data engineering practises in the organisation. From consistent data collection practises, to managing pipelines, to producing gold standard Data Products, to democratising performance of Data metrics your biggest responsibility will be quality of Data produced.

What you’ll do:

• 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.

Requirements

What we look for: 

• 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

Benefits

Our commitment to you:

At RVU we believe that we can be the change we wish to see in the world. We hold ourselves accountable to being open and inclusive teammates and community members. We embrace our differences and are committed to creating an inclusive environment that reflects the world we live in.

What we’ll give back to you:

We want to give you a great work environment; contribute back to both your personal and professional development; and give you great benefits to make your time at RVU even more enjoyable. Some of these benefits include:

• A competitive salary and bonus package
• Employer matching pension up to 7.5%
• Hybrid approach of in-office and remote working, and a “Work from Home” budget to help contribute towards a great work environment at home
• Excellent maternity, paternity and adoption leave policy, for those key moments in your life
• 25 days holiday (increasing to 30 days) + 2 days “My Time” per year
• Up to 30 days per year “working from anywhere”
• A healthy learning and training budget, as well as the chance to go to conferences around the world every year
• Electric vehicles scheme
• In office gym
• Free breakfast in the office daily
• Health insurance
• 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