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 transform...