Aquent
Automation Platform Engineer (213177)
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Automation Platform Engineer
Client Location: 1 Day per month in Office, Sussex
Starting: ASAP
Pay Comments: Up to 72,500.00 (Negotiable)
Minimum Pay (per year): 51300.00
Maximum Pay (per year): 72500.00
Firm, non-negotiable: No
Hours: Full-time
Duration: Permanent
Job Description
A leading organisation responsible for delivering essential services to a large community is seeking a Automation Platform Engineer to support and evolve its enterprise automation and digital platforms. This is a pivotal role within a central automation and digital enablement function, focused on ensuring platforms are secure, stable, scalable and high-performing.
You will work across automation, AI, integration and cloud technologies, partnering with Cloud, Security, Data, Architecture and Delivery teams to enable enterprise-wide digital transformation.
Key Responsibilities
- Manage and maintain a portfolio of automation and digital platforms, including Microsoft Power Platform, ServiceNow/Blue Prism RPA, Alteryx, Copilot Studio, Logic Apps and Foundry
- Administer platform environments, capacity, licensing, RBAC, connectors and configuration.
- Implement and maintain DLP policies, identity and access controls, security standards and governance frameworks.
- Monitor platform health, connector reliability, bot controllers, workflow runs, API integrations and resource utilisation.
- Troubleshoot and resolve platform incidents, performance issues, integration failures, connector/API changes and environment degradation.
- Maintain operational runbooks, technical documentation, dashboards and performance reporting.
- Develop and optimise CI/CD pipelines, particularly using Azure DevOps, to support secure and consistent deployments.
- Support ALM, including solution packaging, version control, deployment approvals and environment management.
- Work with automation delivery teams to establish secure deployment practices and consistent development standards.
- Collaborate with Cloud Infrastructure, Security, Data Engineering, Data Science, Databricks, Integration and Architecture teams on platform enhancements and enterprise solutions.
- Support AI capabilities, including Copilot agents, RAG/graph-based retrieval, model integration and secure data connections.
- Support integration patterns using Logic Apps, APIs, webhooks, Databricks pipelines and enterprise integration technologies.
- Evaluate and onboard new platform features, connectors, AI capabilities and integrations.
- Identify opportunities to improve automation platforms, tooling, scalability and operational efficiency.
- Contribute to Centre of Excellence (CoE) standards, platform roadmaps and operational governance.
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Essential Skills & Experience
- Strong hands-on experience administering Microsoft Power Platform, including environments, DLP, connectors, licensing and governance
- Experience supporting cloud-based automation, RPA or digital enablement platforms.
- Knowledge of Azure, including Logic Apps, Functions, Key Vault, Application Insights and Managed Identities.
- Experience with CI/CD, DevOps and ALM, including solution packaging and deployment pipelines.
- Understanding of identity management, RBAC, security controls, DLP and data governance.
- Experience with RPA platform operations, ideally Blue Prism or ServiceNow RPA, including controllers and bot scheduling.
- Familiarity with APIs, integration patterns and enterprise architecture.
- Understanding of data platforms such as Databricks and Data Lakehouse, with exposure to data pipelines and integrations.
- Awareness of AI and data integration concepts, including RAG, embeddings and Azure OpenAI.
- Familiarity with Copilot Studio and Alteryx.
- Understanding of data governance, including Microsoft Purview, data classification and lineage.
- Experience working in regulated environments, with an understanding of GDPR, ISO 27001 and associated security requirements.
- Strong troubleshooting, analytical and problem-solving skills, with excellent documentation and communication abilities.
- Comfortable working across multiple technical domains and collaborating with both technical and business stakeholders.
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Desirable
- Microsoft certifications such as PL-400, PL-600, AZ-104 or AZ-204, or equivalent
- Blue Prism or ServiceNow RPA accreditation.
- Experience with Azure DevOps and/or GitHub.
- AI/ML or data engineering experience.
Additional Requirements
- Willingness to support occasional out-of-hours deployments or maintenance windows.
- Willingness to travel to sites as required.
About Aquent Talent
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
Client Description
Imagine an enterprise with over 3,000 employees, serving millions of people daily, undergoing the largest infrastructure and technology overhaul in their history. Backed by a sizeable multi-year investment program - underpinned by top-tier global infrastructure investors - our client is fundamentally rewriting how heavy their sectors operates.
Instead of treating technology as a back-office utility, this client is putting Artificial Intelligence, Power Platform, RPA, and Cloud Orchestration directly onto the frontlines.
Joining our client today means getting in on the ground floor of a high-visibility digital transformation journey. You will not be maintaining old systems; you will be architecting, running, and scaling the future digital engine of a high profile, well known brand.
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