We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling and gaming. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.
With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million requests daily and process more than 1.5 million bets per hour at peak.
Dive into expansive datasets and shape the future of data infrastructure as a Data Lake Developer.
The Data Engineering department builds and maintains the robust infrastructure that powers global operations. Handling vast amounts of information daily, the team ensures data is accessible, secure and optimised for complex analytical processing. As a Data Lake Developer, you will deliver everything from large-scale transformations linked to business-critical programmes to bespoke improvements for individual users.
Navigating a continually evolving technical landscape, you will collaborate with various teams to elevate the performance of the data lake and data warehouse. Tackling complex technical challenges, you will help satisfy the ever-changing demands of the business while maintaining exceptional standards of work.
This role is eligible for inclusion in the Company’s hybrid work from home policy.
Commercial GCP background including BigQuery, Dataform and GCS
Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python
Relational set-based processing through complex SQL queries
Proven ability to leverage AI within a production workflow
Background working within a Data Lake or Data Warehouse platform
Manage the GCP environment, including BigQuery, Analytics Hub, and Big Lake
Develop and maintain robust load processes into the Data Lake
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice -
If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
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