Data Distribution Team Leader

Step into the role of Data Distribution Team Leader, where you'll mentor talented engineers and oversee the delivery of complex business projects, high quality dashboards, reports and data extracts across the organisation.
Our Data Distribution and Analytics department is responsible for transforming complex datasets into reliable reporting solutions, business dashboards and data extracts across the organisation.
You'll manage sprint deliveries and guide an engineering team modernising our data landscape. Working across BigQuery, Google Cloud Platform (GCP), Looker, Airflow and a legacy Microsoft SQL Server estate, you'll collaborate with stakeholders to understand business requirements and ensure the team deliver high quality work.
This role is eligible for inclusion in our hybrid work from home policy.

• Recent commercial experience in the any of the follow technologies would be advantageous: BigQuery, GCP, Looker, Airflow and Microsoft SQL Server
• Experience leading Agile teams, managing sprint deliverables and ceremonies
• Strong understanding of database design concepts and techniques with the ability to convert complex problems into simple solutions
• Highly organised and adaptable, capable of managing multiple large-scale projects simultaneously
• Adept at prioritisation, delivery and driving efficiency in a high throughput environment
• Ability to understand technical vernacular and effectively communicate this to technical and non-technical staff
• Collaborative leadership approach focused on coaching, mentoring and continuous team development
• Experience within the Gaming industry would be advantageous
• Line manage a team of data engineers, supporting their professional growth through regular coaching and appraisals
• Direct sprint workflows, triaging and prioritising deliverables to meet project timelines
• Ensure the team develop simple, efficient and robust solutions
• Collaborate with stakeholders to ensure business requirements for data extracts and dashboards are accurate
• Maintain high standards of data governance
• Drive continuous improvements in team working practices, tooling and development processes
• Ensure the quality and integrity of highly optimised datasets and reporting to support Board, Finance and regulatory requirements

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