Betsson Group
DataDevOpsEngineer
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“Data DevOps Engineer at Betsson Group. Skills: Data DevOps, Infrastructure as Code, CI/CD, AWS automation. Design automation of data platform. Optimize data lifecycle”
What They're Looking For.
Must Have
2 years of experience, University Degree in Computer Science, Excellent verbal and writing English communication skills
Nice to Have
Familiarity with AWS data ecosystem, Familiarity with orchestrators like Airflow, Familiarity with data streaming technologies, Knowledge of monitoring and visualization tools, Basic knowledge of containerization
What You'll Do.
Design automation of data platform
Optimize data lifecycle
Apply DevOps practices
Develop infrastructure using Terraform
Implement CI/CD pipelines
Manage CI/CD pipelines
Automate resource provisioning
Automate resource configuration
Automate resource monitoring
Apply GitOps principles
Manage configurations
Ensure infrastructure security
Ensure infrastructure scalability
Ensure infrastructure resilience
Optimize data development lifecycle
Own automation of orchestration tools
Own infrastructure of orchestration tools
Document automation architecture
Document deployment processes
How You'll Work.
Team & Collaboration
Collaborate with Data Engineers
Communication Scope
Verbal English; Written English
Full Job Description
The Wow This role will design and implement the automation of our data platform. The focus will be on enabling and optimizing the data lifecycle by applying DevOps practices, such as Infrastructure as Code (IaC), CI/CD, and GitOps, to ensure the efficiency, reliability, and speed of our data deliveries. A taster of what you will be involved with: Develop and maintain the data platform's infrastructure using Terraform. Implement and manage CI/CD pipelines for the automation of data and ai processes and pipelines. Automate the provisioning, configuration, and monitoring of resources in AWS. Apply GitOps principles to manage configurations and deployments. Ensure the security, scalability, and resilience of the infrastructure through automation. Collaborate with Data Engineers to optimize the data development lifecycle (DDLC). Own the automation and infrastructure of orchestration tools like Airflow. Document the automation architecture and deployment processes. Must haves: Solid experience with Infrastructure as Code (IaC) tools, especially Terraform. Experience in creating and managing CI/CD pipelines (e.g., Github Action, AWS CodePipeline). Deep knowledge of version control tools and workflows with GIT. Experience in automation scripting with Python, AWS CLI, Spark. Knowledge of AWS services automation and management. Nice to haves: Familiarity with the AWS data ecosystem (S3, Glue, Lambda, Redshift, Snowflake). Familiarity with orchestrators like Airflow. Familiarity with data streaming technologies such as Kafka. Knowledge of monitoring and visualization tools (Prometheus, Grafana, CloudWatch). Basic knowledge of containerization (Docker, Kubernetes). Excellent verbal and written English communication skills. What we are looking for University Degree in Computer Science, Engineering or equivalent At least 2 years of experience in DataOps, DevOps, or infrastructure automation Excellent verbal and writing English communication skills Good learning mindset Able to se
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