Job Description

The Data Platform team is responsible for building infrastructure, services and tooling to support data engineering and data discovery. We look to deliver a robust and reliable platform that meets our users requirements, while also testing out new and emerging technologies to add to our stack. Key to the team s mentality is continuously making improvements, automation of processes, using metadata to drive optimization and help other data teams to get stuff done. You will have the opportunity to play a part in a wide array of projects rooted in DAZN s unique and exciting data, whilst demonstrating ground-breaking tools and techniques that support our ambitious plans for product development and the company s rapid global growth to change the way the world watches sport! Some of the latest Data Engineering projects include: Move existing services pipelines to Kubernetes Improve existing services and add new ones to the Data Platform Delivering a data discovery and metadata engine Building out an exchange layer to securely move data to other data platforms Building out an event stream and enabling hybrid batch / real time use case Join us in India s beautiful City of Pearls and bring your ambition to life. Benefits will include access to DAZN, an annual performance related bonus, family friendly community, free access for you and one other to our workplace mental health platform app (Unmind), learning and development resources, opportunity for flexible working, and access to our internal speaker series and events. As our new Cloud Engineer, you ll have the opportunity to: Help shape the future of the Data Platform that we are building Build infrastructure for high performant, low latency and high-volume data pipelines across multiple cloud services Work collaboratively with different stakeholders -Data Engineers and Platform Operations working on tooling to help them work more effectively and deliver data products Guide fellow engineers in technologies and tools evaluation, platform governance policies, utilisation efficiency and cost optimisation Develop strong analytical and communication skills in a global team with a variety of background and experiences You ll be set up for success if you have: Several years of experience as a Cloud or DevOps Engineer Extensive experience in building cloud infrastructure on one of more of AWS, GCP or Azure Hands-on knowledge of Kubernetes and the Kubernetes ecosystem, such as Helmand ArgoCD or alternatives Strong understanding of managing cloud services, including Networking, Load Balancing and Security Extensive experience with infrastructure-as-code, such as Terraform or Ansible, and CI/CD processes Hands-on knowledge of writing clean and robust code in one or more of Python, Java, Bash, Node or Typescript Working knowledge of storage solutions, such as object storage, DataLakes and Warehouses Even better if you have: Experience using AWS Services, such as EKS, S3, Kinesis, API Gateway, EventBridge, Lambda, EMR and IAM Exposure to GCPservices, such as GCS, BiqQuery, CloudFunctions, Pub/Sub, Dataproc and IAM Knowledge of Data Domain technologies and/or real-time streaming applications Familiarity with Snowflake, Apache Airflow and dbt

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