Alekstra helps organizations get more value from the systems they already use.
Our platform integrates with leading enterprise systems—such as SAP, Microsoft, and ServiceNow—to bridge gaps, automate complex steps, and turn fragmented processes into seamless, intuitive workflows. Employees gain the simplicity of consumer apps, while companies retain full control, compliance, and transparency.
Trusted by companies and government agencies in more than thirty countries, Alekstra delivers lasting economic results: greater efficiency, data integrity—thus reliability—and higher user satisfaction, all without major system overhauls. In Finland, Alekstra leads the market in fleet management, energy and emissions reporting, and IT and telecom asset management.
We are now looking for a
Data Alchemist / Product-Oriented Engineer
to join our team in Finland
The Philosophy
In the 80s, the best coders were the "old beards" in the demo scene who squeezed every ounce of performance out of a Commodore 64 because they loved the craft. At Alekstra, we bring that same "hacker mindset" to the modern enterprise.
We are building a horizontal data orchestration platform for Fortune 500 brands—the layer that sits across systems like ServiceNow, Workday, SAP, Oracle, and Microsoft Intune and turns messy, non-standard data into something AI can actually trust.
This role exists because dashboards and reports don’t solve the hard problems. Foundations do.
The Challenge: The Enterprise Mosaic
Enterprise data is an "insane" mosaic. You’ll find a Serial Number in Apple Business Manager, a contract date in a Verizon portal, and an employee record in Workday. They don't talk to each other.
We need a Data Alchemist to be the "architect of the glue." You won't just move tickets in Jira; you will dig into unfamiliar datasets, question assumptions, and understand the underlying business logic—even when it’s poorly documented. You’ll use Python and AI-native workflows (Cursor, Claude, Agents) to turn this chaos into a unified, governed data layer.
What You’ll Do:
- Platform & Horizontal Work: Design orchestration flows across giants like SAP and Intune. Uncover structure and semantics in imperfect data to ensure it is a trustworthy foundation for LLMs.
- Vertical Workflows: Map how data moves through real enterprise workflows. Translate business rules and contracts into computable data representations.
- AI-Heavy Productivity: Operate as an "AI-native" engineer. Use agentic workflows to automate the boilerplate so you can focus on high-level architecture and 10x output.
- Co-Founder Mindset: You’ll help decide not just how data is processed, but what it should mean.
Who You Are:
- The Tinkerer: You have a history of "hobby projects"—whether you were in the 80s demo scene or you spend your weekends hacking hardware. You do this because you love the "species."
- The Detective: You care about Correctness over Convenience. You follow data back to its source and care about how decisions propagate downstream.
- Pragmatically Brilliant: You have the technical depth of a senior engineer but aren't at the "extreme nert" end of the scale. You can manage yourself and align with business goals.
- Location: Remote within Finland (with hybrid options for the "ATK-kerho" spirit).
Helpful Skills (Not Requirements):
- SQL, Python, or similar for data exploration.
- Experience with APIs and enterprise systems (Workday, ServiceNow, etc.).
- A fascination with structure, semantics, and real-world systems.
Interested in the position?
For more information about the position and the organization, please call our senior consultant Johanna Ahola, tel. 0400 739 308, johanna.ahola@wulff.fi
Apply for the position by 18.3.2026 by submitting your CV, application letter and salary request at: wulfftalent.fi
