Automation & AI Integrations Specialist - Metrify (f/m/x)

Automation & AI Integrations Specialist - Metrify (f/m/x)

2.92.9 von 5 Sternen

Homeoffice

Link: (CompanyWebsite)

Mitarbeiteranzahl: 51 bis 200 (CompanyEmployee)

Branche: Energie- & Versorgungswirtschaft (CompanyIndustry)

Stellenbeschreibung

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Vollzeit

Arbeitsort

Home Office

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Aus der vollständigen Stellenbeschreibung

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Vollständige Stellenbeschreibung

We are Metrify Smart Metering, Germanys largest competitive smart metering operator, and a new strategic spin-off initiative by Enpal.

Are you ready for one of the great infrastructure challenges of the 2100s? To truly transform into a decentralized power grid that can support a fully electrified, renewable future, millions of homes need to be equipped with smart meters and control systems. Thats why we are performing the fastest smart meter roll-out in the German market at unprecedented scale, shaping the way this digitally transformed grid will operate. Our mission is to enable utilities, grid operators, and energy providers to install and operate smart meters. Our service portfolio covers all aspects of metering operations: from electricity meter installation and market communication to data management and clearing.

While Metrify emerged from Enpal, we now operate independently in the market, serving a broad range of commercial customers, energy suppliers, and municipal utilities.

Were hiring an Automation & AI Integrations Specialist to help us design and build reliable workflows across modern tools in the Customer Service team. This role is for someone who loves turning messy real-world processes into clean, dependable automation. You do need strong problem-solving skills, technical curiosity, and an excellent debugging mindset.

What youll work on

Design automation solutions: translate business needs into workflow designs (inputs logic outputs), including edge cases and failure handling.

Build and maintain automated workflows across tools (e.g., automation platforms, databases/spreadsheets, ticketing/CRM systems, internal tooling).

Set up and improve AI agents (e.g., Langdock-style agents): prompting, evaluation, integrations, and safe rollout of changes.

Integrate with APIs: webhooks, authentication, JSON payloads, pagination, and troubleshooting.

Improve reliability and observability: logging, alerts, retries, idempotency, and runbooks so workflows can be operated confidently.

Collaborate cross-functionally with ops and product to continuously refine and scale workflows.

What were looking for (must-have)

Strong analytical mindset: you can quickly understand a use case, clarify requirements, and propose a practical build plan.

Proven ability to debug: you can isolate issues, inspect logs/data, reproduce errors, and fix root causes—not just patch symptoms.

Solid understanding of how integrations work: APIs, webhooks, auth, and structured data (JSON/CSV).

Basic coding experience (scripting/automation-level): enough to transform data, write small utilities, and reason about logic.

Comfort with modern collaboration tools and practices (docs, ticketing, structured communication).

Nice-to-have (desirable, not required)

Experience with automation platforms like Make, Zapier, n8n, or similar.

Experience with tools like Airtable, Notion databases, or operational data systems (forms, linked records, permissions).

Database fundamentals (tables/relationships, basic SQL; Postgres/Supabase is a plus).

Familiarity with Git/GitHub (repos, branches, pull requests) at a practical level.

Experience integrating with ticketing/CRM systems (e.g., Intercom, Zendesk, Salesforce).