Senior Software Engineer (Data)

Requirements

• You’ll bring strong software engineering fundamentals to a data-heavy domain, writing maintainable code, owning systems end-to-end and improving how we collect, model and activate data across the organisation
• 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)
• (Desirable) Experience modelling and transforming data from event collection to report curation, especially for ecommerce or affiliate businesses
• (Desirable) Experience building production grade ML pipelines
• (Desirable) Experience using infrastructure as code (Terraform, Cloud Formation or other)
• (Desirable) Experience using CI/CD principles
• You don’t need to tick off everything on this list – so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us!

What the job involves

• Our Marketing Enablement team builds and manages the systems that help turn data into something useful. We work closely with multiple teams like CRM, PPC & analytics to ship the pipelines, integrations and tooling behind how we find and talk to customers
• As a Senior Software Engineer, you’ll help design, build and maintain our data pipelines and the services around them
• 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

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