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.