Data Engineer | London (Remote) | 6 Month FTC
Join us and be part of a dynamic team that's shaping the future of online gaming and sport betting. At BVGroup, we're dedicated to fostering a culture of innovation and excellence, and as a leading global brand, we're committed to delivering top-tier products and services to our customers.
Purpose of the role:
To build and support infrastructure that enables Data Science to provide services to the business.
Key Responsibilities / Duties
- Design and develop robust data infrastructure required to deliver Data Science projects.
- Maintain existing infrastructure, such as Airflow instances and Kubernetes clusters, that are used by Data Science to provide critical services to the business (e.g. Safer Gambling).
- Work with other data engineers and stakeholders to rationalise, and then regulate, the data model in the data warehouse.
- Collaborate with data scientists on their projects, particularly on the design of tools and data models, and other technical aspects.
Key Working Relationships
- Supporting the Data Science function (and BI generally) to deliver and support a wide range of projects.
- Working with DevOps in the Digital team to provision infrastructure, particularly in GCP (e.g. provisioning Kubernetes clusters).
- Working with stakeholders and heads of departments to ensure that engineering requirements are appropriately defined and given appropriate weight in project delivery.
Person Specification, Skills, Experience & Qualifications
- Degree in a scientific or quantitative field.
- Proven experience as a Data Engineer, particularly with Python, Airflow, Terraform, Git, GitLab (including CI/CD pipelines) and GCP (particularly Kubernetes and Helm).
- Profound knowledge of querying data with SQL (ideally in BigQuery or similar database engines) and other tools, including the ability to work with complex data structures and very large data volumes.
- Proactive, independent, responsible and attentive to detail.
- Eager and able to learn, analyse, resolve problems, and improve the standard of BetVictor’s data infrastructure.
Ideal Attributes
- Experience querying MongoDB or other NoSQL Databases (e.g. Impala, Firestore).
- Experience in using Kafka, Pub/Sub, Grafana, etc.
- Knowledge of sports betting and familiarity with Casino data.
How we hire
Our interviews are a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious.
#LI-RF1 #LI-London
In the event that we receive sufficient applications for the role this vacancy may be subject to early closure. Therefore, if you are interested, please submit your application as early as possible.
No Agencies at this time. No Visa Sponsorship available.