Senior Process Automation Engineer - 12 Month Fixed Term Contract

Job summary

As a Senior Process Automation Engineer, you will scale operational efficiency by transitioning manual workflows into streamlined, automated processes. This role involves designing, building, and deploying tactical automation layers and AI-driven agents to eliminate repetitive tasks and optimize communication channels. It requires a blend of software engineering skills, data automation logic, and a pragmatic, solution-oriented mindset.

Qualifications

• Extensive professional experience in Process Automation, Analytics Engineering, DevOps, or Operations Consulting (ideally in fast-paced environments like e-commerce, logistics, delivery, or mobility).
• Strong proficiency in Python, SQL, and building custom API connections.
• Experience with workflow automation platforms (e.g., n8n, Make.com, Zapier) is a big plus.
• Hands-on experience using AI APIs, Prompt Engineering, or LLM-driven agents to process data and automate decision-making steps.
• A strong ability to build quick, stable MVPs and "short-term bridges" that solve operational pain points today, rather than waiting for heavy enterprise software rollouts.
• Excellent stakeholder management skills; ability to sit down with non-technical operations teams, understand their manual pain points, and translate them into automated code.
• Fluent in English (German is a plus).

Responsibilities

• Design and deploy automated pipelines to connect fragmented systems, transforming manual daily data tasks into seamless, automated workflows.
• Build internal tools and scripts that save the operational teams hours of administrative overhead each week.
• Develop early-warning and notification systems that monitor live operational KPIs (e.g., service delays, cancellation spikes) and automatically trigger alerts to external partners and internal teams 24/7.
• Leverage AI tools and LLMs to extract insights from unstructured data (such as customer feedback, operation logs, and support tickets) and automatically link them to performance metrics.
• Automate data extraction and injection into master sheets and internal databases to ensure 100% data accuracy and prevent data silos during high-growth phases.
• Build automated verification logic to simplify complex administrative tasks, such as auditing external invoices or tracking partner onboarding checklists.

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