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Data DevOps Engineer
Addition
- Watford, England, United Kingdom
- Watford, England, United Kingdom
Über
The experience expected from applicants, as well as additional skills and qualifications needed for this job are listed below. Data DevOps Engineer Are you passionate about building scalable, reliable data infrastructure in the cloud? Join our innovative team as a Data DevOps Engineer and play a pivotal role in transforming how data powers decision-making and operational excellence. This is your chance to work at the forefront of cloud-native data architecture, ensuring seamless deployment, management, and optimization of large-scale analytics solutions that drive impactful insights and business growth. Compensation: £85,000 p/a Work Model: 3 days on site per week in Watford What You'll Do: Design, implement, and maintain AWS-based data infrastructure leveraging Redshift, S3, EMR, and other cloud services. Develop and oversee CI/CD pipelines for ETL processes and Power BI deployments, ensuring rapid, error-free code releases. Automate environment provisioning and data workflows using Terraform, Docker, Kubernetes, Python, and other automation tools. Manage data provisioning workflows, environment freshness, and synchronization across development, testing, and production stages. Optimize data pipelines for performance, resource utilization, and cost efficiency while ensuring high reliability and scalability. Establish observability frameworks with CloudWatch, Grafana, or Datadog for proactive monitoring and troubleshooting. Collaborate with cross-functional teams to enhance deployment strategies, resolve technical issues, and implement best practices in security, compliance, and governance. Continuously explore innovative cloud services and tools to improve deployment speed, operational efficiency, and developer experience. Required Skills: Extensive experience with AWS cloud services (Redshift, S3, Lambda, EMR, CloudFormation/Terraform). Proficiency in CI/CD tools such as Jenkins, GitHub Actions, or similar. Strong scripting skills in Python for automation, logging, and observability integrations. Expertise in SQL, especially Redshift, and in managing large-scale data processing frameworks like Spark and EMR. Hands-on experience with containerization (Docker, Kubernetes). Professional certifications such as AWS Certified Solutions Architect and AWS Certified DevOps Engineer are highly desirable. Deep understanding of environment management, code promotion, deployment pipelines, and release management. Familiarity with Jira integrations and data provisioning automation. Nice to Have Skills: Experience with Power BI, DAX, and data modeling for optimized reporting. Knowledge of big data orchestration tools like Apache Airflow. Previous exposure to regulated environments such as finance, healthcare, or gaming. Experience in a lottery or similar domain is a plus. Preferred Education & Experience: Bachelor’s or Master’s degree in Computer Science, Data Analytics, or related field. Several years of professional experience in cloud data engineering, DevOps, or related roles. Other Requirements: Ability to work within an agile team, managing multiple deliverables simultaneously. Strong troubleshooting skills and the ability to diagnose complex cloud-based issues. Commitment to security, compliance, and best practices in data governance. xbpsjku Take the next step in your career—apply now and be part of a transformative journey to create a more innovative, reliable, and impactful data environment that makes a real difference!
Sprachkenntnisse
- English
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