Data & Automation Engineer

The German property management industry is one of the oldest and least digitalised service sectors in the country: file folders, fax machines, no transparency for owners, weeks-long response times, and a chronic shortage of skilled workers.
Most players respond in one of two ways: they sell software to incumbents without experiencing the operational reality, or they buy up existing management firms and bolt software onto paper-based processes. reltix has actively chosen a third path. Inside a single technical infrastructure, we unite operational management and the knowledge that comes from actually offering the service with the digitalisation of data from the properties we manage.
That gives us an operating system for property management: the system teams run on, the source of truth for every property, and the platform workflows and partners plug into.
The result is an AI-enabled service business where requests aren't passed along, they're answered directly. Whether through the manager's software interface, the voice agent on the phone, or the owner's chatbot, because the full context of the property is available everywhere and the system can act on it.
Within the wider real estate industry the property manager acts as a platform between the owner and every single service around the property. From banking, electricity, heating, and internet all the way to major renovation projects, this ecosystem spans every adjacent part of the real estate sector. This unique position allows us to not just provide this infrastructure internally but instead to open it up, so reltix becomes the context layer and the operating system of the entire real estate industry.
Founded in 2025, we've gone from zero to 4,000+ customers and a team of over 30+ people in little more than a year. With funding secured and a third office in Frankfurt planned, we are looking to expand our tech team to help us scale this vision.

reltix is an AI-native service company: data and automation aren't a feature, they're how the business runs. As Data & Automation Engineer, you own the layer that keeps the company running behind the scenes, across finance, sales, marketing, and operations.
You sit at the seam between operations, finance, GTM, and engineering. You work with the people running the business day to day, find where the manual work and friction sit, and ship the data flows and automations that take them away: bank feeds reconciled, invoices ingested and posted, leads routed and enriched, campaigns finally measurable, dashboards the company can actually steer by.
Because reltix runs on one backbone, none of this is walled off from the product. The data you structure for the back office is the same context the product, the voice agent, and the owner chatbot draw on, so product and AI work is always within reach when there's a problem worth solving there.
Your mission is to own the back-office data and automation backbone end to end: books that close, leads that get followed up, campaigns that get measured, numbers founders can trust. The work that lives in someone's inbox, spreadsheet, or PDF folder today should end up inside the system: structured, queryable, automatable. And when you see something broken, slow, or manual anywhere in the company, you fix it rather than file a ticket.
What you'll do

• Build and run the company's automation layer in n8n and code: invoice ingestion and classification, bank-feed reconciliation, posting, lead routing and enrichment, internal tooling.
• Own the back-office data pipelines in and out of reltix: accounting, invoices, contracts, bank feeds, CRM and sales data, marketing channels, third-party APIs.
• Own the data infrastructure end to end. Snowflake is yours: warehousing, modelling, transformations, quality, cost.
• Build the reporting and analytics the company steers by, and run the analysis behind real decisions: where revenue comes from, where leads stall, where processes leak time and money.
• Plug AI in where it earns its place: voice agent, document and invoice parsing, classification, enrichment, anomaly detection, agent workflows that close out tasks autonomously.
• Own customer and portfolio migrations from legacy systems into reltix, cleanly and at scale.