Data Engineer £55,000 - £75,000 plus benefits London, United Kingdom (remote)

A leading independent sports betting company is looking to hire a Data Engineer with a strong background in Python and SQL to support its talented data science team.

You will be exposed to and supported in your development of maintaining existing infrastructure such as AirFlow instances and Kubernetes clusters, that are used by the data science team to provide critical services to the business. Prior experience is not necessary.

As a Data Engineer, you will be responsible for designing and developing robust data infrastructure required to deliver Data Science projects. In addition to this, you will be maintaining the existing infrastructure, such as Airflow instances and Kubernetes clusters, that are used by Data Science to provide critical services to the business. You will work closely with the Analytics team to identify opportunities for growth and optimization, using data to inform our strategies and drive success.

In this role, you will also have the opportunity to support the Data Science function within the team, sharing your expertise and collaborating with other members to make their data-driven approach even stronger. You will also have the chance to work with cutting-edge technologies and tools.

• Designing and developing data infrastructure requirements to deliver data science functions and working closely with the DevOps team in provisioning Kubernetes clusters.
• Working on large data sets across the business and collaborating with senior stakeholders.

• A Master's degree in Computer Science or equivalent experience in a quantitative field (e.g. Statistics, Mathematics, Machine Learning, Engineering).
• Proven experience as a Data Engineer, particularly with Python and SQL.
• Experience in Airflow, Terraform, Git, GitLab (including CI/CD pipelines) and GCP (particularly Kubernetes and Helm) is a plus - you must want to learn and develop your current experience with these.

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