---
esco_uri: http://data.europa.eu/esco/skill/000f1d3d-220f-4789-9c0a-cc742521fb02
esco_label: "Haskell"
relation: optional
onet_soc: 15-1252.00
source: model-knowledge
confidence: high
qa_count: 1
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# Haskell — Software Engineer

As a Software Engineer with Haskell competence, you're not necessarily writing *all* production code in it – though that happens! More often, it means being able to rapidly prototype complex logic where correctness is paramount. Think financial modeling, compiler construction (even small DSLs), or building highly reliable backend services. You’ll leverage Haskell’s strong type system to catch errors at compile time that would require extensive testing in other languages. Daily tasks might involve translating business requirements into algebraic data types, writing pure functions, and using libraries like `lens` for concise data manipulation. Familiarity with tools like Stack or Cabal (build systems) and QuickCheck (property-based testing) is crucial.

## Praxiswissen (Stack Exchange, CC-BY-SA 4.0)

**The asker is new to Haskell and trying to understand why its type system is considered superior to those of languages like Java, specifically regarding preventing runtime errors and enabling safe refactoring.**

Haskell's strength lies in a combination of features that create a more robust and expressive type system. Unlike many other statically typed languages, it prioritizes immutability and uses algebraic data types which mirror mathematical structures for consistency and power. This foundation enables advanced capabilities like datatype-generic programming (writing code that works across different data structures) and powerful generalization, allowing for safer and more flexible code evolution.

*Source: [What exactly makes the Haskell type system so revered (vs say, Java)?](https://softwareengineering.stackexchange.com/q/279316) — answer by J. Abrahamson, CC-BY-SA 4.0*

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.SE (software-engineering preprints).
