Automation Engineer

Automation Engineer – Data Analytics Platforms Location: Remote (UK) Duration: 6 months Pay Rate: Open to negotiation (depending on experience) About the Role Join a prestigious global consulting firm’s data analytics team that empowers users across multiple regions with best-in-class analytics solutions. You’ll help streamline workflows, automate repetitive tasks, and make data tools like Tableau, Power BI, Microsoft Fabric, and KNIME easy to use for employees worldwide. This is a high-impact role where your automation skills will directly improve efficiency and adoption of analytics platforms at scale. Key Responsibilities Design and implement automation workflows across analytics platforms. Build and maintain self-serve applications for internal users using product APIs. Integrate and manage cloud-based services (Azure, AWS) across platforms. Develop and maintain REST APIs to enable seamless communication between tools. Monitor system performance and implement improvements to ensure reliability. Collaborate with global teams in Agile sprints, contributing to daily stand-ups and planning sessions. NOTE - This is not a general IT automation engineer . They need someone who can automate processes for analytics platforms (Tableau, Power BI, Microsoft Fabric, KNIME) and integrate them with cloud services (Azure, AWS). Skills & Experience Mandatory: Strong programming skills in Python AND (JavaScript, or TypeScript) . Experience with automation, API integration, and workflow orchestration . Hands-on experience with cloud platforms (Azure and/or AWS). Ability to build and maintain REST APIs and backend services . Familiarity with CI/CD pipelines and version control (GitHub/GitLab). Experience working in an Agile environment . Strong problem-solving and communication skills. Desirable: Experience with Tableau REST API, Power BI REST API, or Microsoft Fabric automation . Knowledge of KNIME Hub or similar analytics workflow platforms. Experience integrating with identity and access management systems (Azure AD, Okta). Familiarity with Docker, Kubernetes , or infrastructure-as-code tools (Terraform, ARM, Bicep). Understanding of monitoring and logging frameworks . Basic knowledge of UI frameworks for simple front-end interfaces. Education & Certifications Bachelor’s degree in Computer Science, IT, or related field . Cloud certifications such as AWS Solutions Architect, Azure Administrator, or Google Cloud Professional are a plus. Why Apply? Work with a global, high-impact analytics team . Drive automation and efficiency across multiple platforms. Flexible, remote working arrangement. Open pay rate reflecting your skills and experience.

Location: UK, GB

Posted Date: 11/4/2025