1729 English-speaking jobs in Central Denmark Region

Prepare goods for distribution by picking, packing, and palletizing items. Work independently and efficiently in a fast-paced warehouse environment. Must be reliable, punctual, and able to work independently.

The Department of Biology at Aarhus University seeks a Research Data Steward / Data Scientist for a 2-year temporary position. The role supports research groups across the department in developing and implementing data management solutions for various biological disciplines and data types. Responsibilities include facilitating data management practices, providing guidance on data management planning, developing data management standards, and contributing to automated solutions.

Data Manager and Information Security Coordinator needed for research group focusing on genetic epidemiology of psychiatric and neurodevelopmental conditions. Responsibilities include data management, analysis, and supporting the department's Information Security Management System.

Automation Engineer – SCADA Systems will develop, configure, and integrate SCADA platforms for wind energy installations. Responsibilities include installing SCADA software, configuring system parameters, ensuring secure connectivity, and supporting system integration activities.

Develop aftermarket solutions for global OEMs in defense, mining, and rail industries. Collaborate with engineering and aftermarket teams to ensure performance, lifetime support, and cost-effectiveness. Translate customer requirements and lead quotations with Key Account Managers.

Senior Lead Software Engineer will lead a team of engineers, define technical direction, and contribute across the full technology stack. Responsibilities include designing and developing scalable data ingestion solutions, building backend services and APIs, and developing modern user interfaces.

Software Engineer will develop, configure, and integrate SCADA platforms for wind energy installations. Responsibilities include installing software, configuring systems, ensuring secure connectivity, and collaborating with engineering teams. Requires experience with SCADA systems, industrial automation, and network technologies.

IT Adoption Specialist will drive value realization and user adoption for digital products within the Customers IT Portfolio. The role involves stakeholder engagement, user research, communication, and monitoring adoption through analytics and feedback.

Sales Engineer to drive sales and provide technical solutions for sustainable cooling and heating systems. Support customers with quotations, design, calculations, and guidance. Collaborate with sales, R&D, engineering, and manufacturing teams.

Technical skilled team lead to manage pressure test operations, ensuring product safety and quality. Lead a team of six, drive process improvements, and collaborate with production engineers. Requires technical expertise, leadership experience, and strong communication skills.

As the dedicated data partner to a product team, you will conduct in-depth analyses, provide cross-product perspectives, and help design and improve the product. You will own the data work that supports product development, focusing on activation and adoption.

Arcadia seeks a Human Resources Talent Acquisition Manager to lead executive hiring. This role oversees a team of Talent Acquisition Specialists, defining and executing the organization's executive recruitment strategy. Responsibilities include developing headhunting methodologies, talent mapping, and ensuring rigorous executive hiring processes. The successful candidate will build a high-performing talent acquisition function, delivering exceptional leadership talent.

Link Acquisition Specialist will develop and execute backlink strategies for clients. Responsibilities include researching and securing high-quality backlinks, evaluating domain quality, and monitoring campaign performance. Requires previous experience with link building, SEO tools, and outreach skills.

Full Stack AI Engineer will design, develop, and deploy AI-powered applications, agent-based systems, and full-stack solutions. Collaborate with stakeholders to translate business needs into technical implementations. Contribute to the development and maintenance of shared libraries and frameworks. Requires proven experience developing applications using Python and modern AI tools, frameworks, and APIs. Strong background in building and iterating on MVPs, prototypes, or experimental products. Experience working with a combination of commercial AI services, open-source technologies, and automation tools. Excellent problem-solving abilities with strong analytical and critical-thinking skills. Ability to work independently in a remote, asynchronous, and high-autonomy environment. Strong communication and collaboration skills. Experience with AI agents, vector databases, retrieval-augmented generation (RAG), or similar technologies is highly valued. Familiarity with frontend development technologies such as React, Next.js, or related frameworks is a plus. Background in STEM, data science, machine learning, or quantitative engineering disciplines is advantageous. Previous experience in startup environments, high-growth organizations, or founder-led teams is preferred.

Product Manager for Financial Operations will own a defined sub-area, shaping workflows such as reconciliation, disputes, FX, and settlements. You will define product vision, roadmap, and outcomes, translating financial and merchant signals into product direction. Strong analytical and communication skills are required, along with experience owning a product area end-to-end.

This role involves researching, testing, and creating educational content about AI tools and workflows. You will use AI-assisted platforms to generate, refine, and structure YouTube scripts and produce screen recordings demonstrating AI applications.

Full Stack AI Engineer will design, develop, and deploy AI-powered applications, agent-based systems, and full-stack solutions. Collaborate with stakeholders to translate business needs into technical implementations. Contribute to the development and maintenance of shared libraries and frameworks. Requires proven experience developing applications using Python and modern AI tools, frameworks, and APIs. Strong background in building and iterating on MVPs, prototypes, or experimental products. Experience working with a combination of commercial AI services, open-source technologies, and automation tools. Excellent problem-solving abilities with strong analytical and critical-thinking skills. Ability to work independently in a remote, asynchronous, and high-autonomy environment. Strong communication and collaboration skills. Experience with AI agents, vector databases, retrieval-augmented generation (RAG), or similar technologies is highly valued. Familiarity with frontend development technologies such as React, Next.js, or related frameworks is a plus. Background in STEM, data science, machine learning, or quantitative engineering disciplines is advantageous. Previous experience in startup environments, high-growth organizations, or founder-led teams is preferred.

This role involves researching, testing, and creating educational content about AI tools and workflows. You will use AI-assisted platforms to generate, refine, and structure YouTube scripts and produce screen recordings demonstrating AI applications.

Design and scale a participant acquisition engine for a large-scale marketplace of paid task contributors. Build and automate growth workflows using agentic tools to efficiently scale acquisition. Identify and unlock new geographies based on demand signals and supply economics.

Full Stack AI Engineer will design, develop, and deploy AI-powered applications, agent-based systems, and full-stack solutions. Collaborate with stakeholders to translate business needs into technical implementations. Contribute to the development and maintenance of shared libraries and frameworks. Requires proven experience developing applications using Python and modern AI tools, frameworks, and APIs. Strong background in building and iterating on MVPs, prototypes, or experimental products. Experience working with a combination of commercial AI services, open-source technologies, and automation tools. Excellent problem-solving abilities with strong analytical and critical-thinking skills. Ability to work independently in a remote, asynchronous, and high-autonomy environment. Strong communication and collaboration skills. Experience with AI agents, vector databases, retrieval-augmented generation (RAG), or similar technologies is highly valued. Familiarity with frontend development technologies such as React, Next.js, or related frameworks is a plus. Background in STEM, data science, machine learning, or quantitative engineering disciplines is advantageous. Previous experience in startup environments, high-growth organizations, or founder-led teams is preferred.