Integration Engineer

cargo-partner GmbH

Fischamend, Austria

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job source

devjobs.at

Tech stack

Agile Methodology Artificial Intelligence Application Integration Architecture Databases Corona (Software Development Kit) Data Infrastructure Database Queries Electronic Data Interchange (EDI) Middleware JSON PostgreSQL MariaDB

+26 more

OAuth Parsing Regular Expressions Swagger Software Engineering SQL Databases Systems Architecture Systems Integration Web Services Extensible Markup Language (XML) XPath YAML Openapi AI Infrastructure Data Processing Large Language Models Git Information Technology Enterprise Integration Bitbucket Machine Learning Operations Api Gateway Restful APIs Software Version Control Data Pipelines Api Management

Job description

OAuth
Bitbucket
PostgreSQL
JSON
RegEx
Git
XML
MariaDB
RESTful API
SQL, * As Integration Engineer / Software Developer, you will play a pivotal role in designing, implementing, and scaling our integration landscape.
You won’t just maintain connections – you will engineer the workflows that power global trade.
This role is designed for a technical generalist or specialist who bridges the gap between structured enterprise integration and modern software development.
You will have a unique opportunity to take part in customer onboarding projects, optimize our middleware infrastructure, and actively shape how we apply Artificial Intelligence (AI) to automate mapping, parse complex data schemas, and orchestrate intelligent data pipelines.
Design & Implement Integrations: Architect, build, and support robust EDI and API integrations connecting our internal platforms with global clients, partners, and systems.
Orchestrate Smart Workflows: Design and optimize scalable data pipelines, ensuring highly efficient, transactional, and resilient data exchange.
Pioneer AI in Integrations: Actively identify, test, and implement AI/ML tools and automated workflows to accelerate mapping generation, format translation, and automated error handling.
Lead Customer Roll-outs: Take ownership of integration projects from kick off to go-live, collaborating closely with client IT teams to ensure smooth and timely onboardings.
Middleware & Mapping Management: Configure and manage state-of-the-art integration platforms and middleware., * Work with robust enterprise middleware (Lobster Data Platform) alongside cutting-edge, AI integration platform (Gemini, Claude Code…).
Take part in integration projects that directly influence our operational efficiency and customer satisfaction.
Opportunities to continuously upgrade your skills in AI infrastructure (GCP), AI applications, modern system architecture, and agile project management.
Collaborate with international teams and work on diverse, large-scale projects.
The minimum base salary for this position is EUR2,200 gross/month.

Requirements

A successfully completed degree in Computer Science, Business Informatics, or a comparable technical field OR strong affinity for IT and logistics/supply chain networks., * Proficiency with RESTful architectures, JSON/XML web services, and API specifications (such as OpenAPI/Swagger, YAML).
Understanding of secure integration concepts, including OAuth, token-based authentication, and API gateway management.
Highly motivated to apply AI, modern automation frameworks, and LLMs to revolutionize traditional data translation and workflow orchestration.
Fluent in English, with the ability to translate complex technical requirements to clients and business stakeholders alike.
Organizational skills with the ability to work independently while fostering collaboration, knowledge sharing., * Hands-on experience in integration space OR software engineering background.
Familiarity with database technologies (MariaDB, PostgreSQL) and experience in data querying and extraction techniques (e.g. SQL, XPath, Regex).
Practical experience in data manipulation, cleansing, parsing, and transforming structured and semi-structured datasets (e.g., CSV, flat files, XML, JSON).
Experience with version control systems such as Git, BitBucket or similar.