Head of Data Engineering | EU/UK - Remote

We are BVGroup, a dynamic team that's shaping the future of online sports betting and gaming. 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.

We are looking for a Head of Data Engineering to lead and become part of our growing data engineering team.

Expected responsibilities:

• Day-to-day management of engineering projects within BI, including contributing expertise to project planning and architectural solutions.
• Line management of the data engineers.
• Running engineering sprints and retrospectives; assistance with incident reviews.
• Technical oversight of the BI stack. Including data governance and integrity (incl. data contracts and variations); setting development standards, practices and processes; ensuring stack availability and robustness; driving performance improvements (e.g., upgrades and migrations); and management of technical debt.
• Collaboration with Data Science and Reporting (within BI) to facilitate the work of those teams and their deployments.
• Collaboration with other technology departments on cross-team projects.

Person profile:

• Management experience of teams of data engineers.
• Detailed experience as a data engineer.
• Python application development.
• Web-based development platforms (e.g., GitHub, GitLab), including CI/CD pipelines.
• Cloud platforms such as GCP (ideally having covered BigQuery, Kubernetes and Firestore).
• Configuration of cloud infrastructure (e.g., with Terraform).
• Messaging services (e.g., Kafka, Pub/Sub).
• NoSQL (e.g., MongoDB and Firestore).
• SQL querying (e.g., BigQuery, Snowflake), including the ability to work with complex data structures and very large data volumes.
• Orchestration services (e.g., Airflow, Luigi, Cloud Compose).

• Proactive, independent, responsible and attentive to detail.

• Eager and able to learn, analyse, resolve problems, and improve the standard of BVGroup data infrastructure.

• Degree in a scientific or quantitative field.

• Ideally knowledge of sports betting and familiarity with gaming 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 to know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious.

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.