Data Engineer
- At least 3 years of relevant data engineering experience
- Strong Python and SQL skills
- Experience with dbt
- Experience with AWS
- Experience working with a columnar database such as Redshift
- Strong Experience with ETL/ELT and the management of data pipelines
- Familiarity with snowplow
- Experience with Data Integration from a variety of sources
- Good cross-team communication skills
- Familiarity with continuous integration, unit testing tools and related practices
- Understanding of Agile Scrum software development lifecycle
- Implementing and maintaining ETL pipelines using Airflow & AWS technologies
- Contributing to data-driven tools owned by the data engineering team, including content personalisation
- Responsibility of ingestion framework and processes
- Helping monitor and look after our data infrastructure in AWS
- Supporting our Business Analytics & Marketing teams
- A culture that pushes you to be your best self
- Two uninterrupted hours a week dedicated to your personal development
- A tailored personal development plan, to ensure that you can continue to grow and achieve your career goals
- The flexibility to get that perfect work/life balance
- Zumba, football, table football, and pool table to work off all the free snacks
- Quarterly socials to let your hair down with your team
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