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Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.

We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions.

You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure.

As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs.

Key Responsibilities:

• Design, develop, and enhance cloud-native Data & AI platforms

• Develop platform functionality and work with Kubernetes and Kubernetes Operators

• Implement, deploy, and troubleshoot solutions in complex technical environments

• Work with automation, GitOps, CI/CD, and observability

• Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices

• Explore how emerging AI technologies and tools can be utilized and integrated into our platforms

Travel may be required as part of this role.

We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others.

We believe you have experience in several of the following areas:

• Golang or other programming languages used for systems-level development

• Kubernetes, Kubernetes Operators, and containerized environments

• Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices

• Linux and automation using tools such as Python or Shell scripting

• Data-intensive environments and the deployment and management of AI models

Experience in any of the following areas is considered a merit:

• AI-assisted software development or agent-based AI

• Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG)

• Test automation

• Security testing

You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience.

As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here

Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you.

About Careium

Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table.

About the Role

As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future.

Day to day you will be working with things like:

• Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.

• Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.

• Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.

• Moving existing data integrations and legacy data streams onto the new modern platform.

• Getting data documentation, a data catalogue, and data governance frameworks in place.

• Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.

• Coaching developers and analysts in data engineering best practices and efficient querying.

Who We Are Looking For

You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus.

It helps if you have worked with tools like:

• Python, Bash, Ansible, Terraform, or equivalent.

• AWS, or other cloud providers.

• Docker, Kubernetes, or equivalent.

• Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis.

• Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing.

Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working.

Practical Information

Location: Malmö Scope: Full-time Work model: Hybrid, as agreed Employment type: 6-month assignment through A-hub. The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.

We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions.

You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure.

As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs.

Key Responsibilities:

• Design, develop, and enhance cloud-native Data & AI platforms

• Develop platform functionality and work with Kubernetes and Kubernetes Operators

• Implement, deploy, and troubleshoot solutions in complex technical environments

• Work with automation, GitOps, CI/CD, and observability

• Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices

• Explore how emerging AI technologies and tools can be utilized and integrated into our platforms

Travel may be required as part of this role.

We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others.

We believe you have experience in several of the following areas:

• Golang or other programming languages used for systems-level development

• Kubernetes, Kubernetes Operators, and containerized environments

• Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices

• Linux and automation using tools such as Python or Shell scripting

• Data-intensive environments and the deployment and management of AI models

Experience in any of the following areas is considered a merit:

• AI-assisted software development or agent-based AI

• Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG)

• Test automation

• Security testing

You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience.

As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here

Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you.

About Careium

Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table.

About the Role

As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future.

Day to day you will be working with things like:

• Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.

• Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.

• Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.

• Moving existing data integrations and legacy data streams onto the new modern platform.

• Getting data documentation, a data catalogue, and data governance frameworks in place.

• Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.

• Coaching developers and analysts in data engineering best practices and efficient querying.

Who We Are Looking For

You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus.

It helps if you have worked with tools like:

• Python, Bash, Ansible, Terraform, or equivalent.

• AWS, or other cloud providers.

• Docker, Kubernetes, or equivalent.

• Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis.

• Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing.

Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working.

Practical Information

Location: Malmö Scope: Full-time Work model: Hybrid, as agreed Employment type: 6-month assignment through A-hub. The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.

We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions.

You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure.

As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs.

Key Responsibilities:

• Design, develop, and enhance cloud-native Data & AI platforms

• Develop platform functionality and work with Kubernetes and Kubernetes Operators

• Implement, deploy, and troubleshoot solutions in complex technical environments

• Work with automation, GitOps, CI/CD, and observability

• Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices

• Explore how emerging AI technologies and tools can be utilized and integrated into our platforms

Travel may be required as part of this role.

We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others.

We believe you have experience in several of the following areas:

• Golang or other programming languages used for systems-level development

• Kubernetes, Kubernetes Operators, and containerized environments

• Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices

• Linux and automation using tools such as Python or Shell scripting

• Data-intensive environments and the deployment and management of AI models

Experience in any of the following areas is considered a merit:

• AI-assisted software development or agent-based AI

• Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG)

• Test automation

• Security testing

You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience.

As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here

Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you.

About Careium

Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table.

About the Role

As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future.

Day to day you will be working with things like:

• Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.

• Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.

• Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.

• Moving existing data integrations and legacy data streams onto the new modern platform.

• Getting data documentation, a data catalogue, and data governance frameworks in place.

• Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.

• Coaching developers and analysts in data engineering best practices and efficient querying.

Who We Are Looking For

You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus.

It helps if you have worked with tools like:

• Python, Bash, Ansible, Terraform, or equivalent.

• AWS, or other cloud providers.

• Docker, Kubernetes, or equivalent.

• Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis.

• Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing.

Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working.

Practical Information

Location: Malmö Scope: Full-time Work model: Hybrid, as agreed Employment type: 6-month assignment through A-hub. The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.

We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions.

You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure.

As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs.

Key Responsibilities:

• Design, develop, and enhance cloud-native Data & AI platforms

• Develop platform functionality and work with Kubernetes and Kubernetes Operators

• Implement, deploy, and troubleshoot solutions in complex technical environments

• Work with automation, GitOps, CI/CD, and observability

• Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices

• Explore how emerging AI technologies and tools can be utilized and integrated into our platforms

Travel may be required as part of this role.

We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others.

We believe you have experience in several of the following areas:

• Golang or other programming languages used for systems-level development

• Kubernetes, Kubernetes Operators, and containerized environments

• Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices

• Linux and automation using tools such as Python or Shell scripting

• Data-intensive environments and the deployment and management of AI models

Experience in any of the following areas is considered a merit:

• AI-assisted software development or agent-based AI

• Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG)

• Test automation

• Security testing

You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience.

As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here

Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you.

About Careium

Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table.

About the Role

As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future.

Day to day you will be working with things like:

• Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.

• Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.

• Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.

• Moving existing data integrations and legacy data streams onto the new modern platform.

• Getting data documentation, a data catalogue, and data governance frameworks in place.

• Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.

• Coaching developers and analysts in data engineering best practices and efficient querying.

Who We Are Looking For

You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus.

It helps if you have worked with tools like:

• Python, Bash, Ansible, Terraform, or equivalent.

• AWS, or other cloud providers.

• Docker, Kubernetes, or equivalent.

• Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis.

• Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing.

Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working.

Practical Information

Location: Malmö Scope: Full-time Work model: Hybrid, as agreed Employment type: 6-month assignment through A-hub. The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.

We are looking for a Senior Data & AI Platform Engineer who wants to contribute to the development of modern Data & AI platforms. In this role, you will combine deep technical expertise with hands-on engineering and help build secure, scalable, and robust environments for advanced AI solutions.

You will be part of Software Excellence and Information Assurance (SWEIXA) within Saab Surveillance. Working closely with other experienced engineers, you will provide technical expertise in cloud-native platforms, Kubernetes, and AI infrastructure.

As a Senior Data & AI Platform Engineer, you will work across the entire technology lifecycle, from design and implementation to deployment, troubleshooting, and continuous improvement. You will also contribute knowledge related to AI tools, their capabilities and limitations, helping the team develop sustainable technical solutions that meet business and customer needs.

Key Responsibilities:

• Design, develop, and enhance cloud-native Data & AI platforms

• Develop platform functionality and work with Kubernetes and Kubernetes Operators

• Implement, deploy, and troubleshoot solutions in complex technical environments

• Work with automation, GitOps, CI/CD, and observability

• Contribute technical expertise, knowledge sharing, and the continuous improvement of team practices

• Explore how emerging AI technologies and tools can be utilized and integrated into our platforms

Travel may be required as part of this role.

We are looking for someone with solid experience in software engineering and platform development who enjoys working close to technology. You have a strong technical interest and thrive on solving complex challenges in collaboration with others.

We believe you have experience in several of the following areas:

• Golang or other programming languages used for systems-level development

• Kubernetes, Kubernetes Operators, and containerized environments

• Cloud-native platforms, as well as DevOps, GitOps, and CI/CD practices

• Linux and automation using tools such as Python or Shell scripting

• Data-intensive environments and the deployment and management of AI models

Experience in any of the following areas is considered a merit:

• AI-assisted software development or agent-based AI

• Large Language Model (LLM) technologies, including prompting and Retrieval-Augmented Generation (RAG)

• Test automation

• Security testing

You hold a university degree in Computer Engineering, Computer Science, or a related field, or have gained equivalent competence through professional experience.

As a person, you are curious, solution-oriented, and capable of understanding complex technical challenges. You enjoy sharing your knowledge and collaborating with others while also being comfortable driving technical initiatives independently.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

If you are interested in what benefits you can take part of as an employee at Saab in Sweden, you can read more about them here

Careium is looking for a Data Engineer to help us shape and build a modern data and delivery platform from the ground up. If you have a strong drive to do things properly and take ownership of your work, then this is the job for you.

About Careium

Careium delivers solutions within personal safety and connected care. We have a global presence but work with a strong local feel, and right now we are in a phase where there is real work to be done - automation, data infrastructure, and smarter ways of building and shipping software are all on the table.

About the Role

As a Data Engineer in the platform team, you will be the driving force behind our data infrastructure. You will work closely with both software developers and the wider organization to ensure that our data is accessible, reliable, and structured for the future.

Day to day you will be working with things like:

• Implementing and expanding our central data lake and data warehouse, building upon the completed initial design and its main components.

• Setting up and maintaining robust ETL/ELT pipelines to ingest data from various internal and external sources.

• Continuing the groundwork of our event-driven platform enabling real-time alarm data and user activity.

• Moving existing data integrations and legacy data streams onto the new modern platform.

• Getting data documentation, a data catalogue, and data governance frameworks in place.

• Collaborating with DevOps colleagues in the team to automate data infrastructure deployments and monitoring.

• Coaching developers and analysts in data engineering best practices and efficient querying.

Who We Are Looking For

You should have solid hands-on experience from a Data Engineering role and a genuine interest in cloud architecture, data modeling, and streaming data. Since you will be part of a platform team, a DevOps mindset regarding automation, containerization, and infrastructure as code is a big plus.

It helps if you have worked with tools like:

• Python, Bash, Ansible, Terraform, or equivalent.

• AWS, or other cloud providers.

• Docker, Kubernetes, or equivalent.

• Streaming and event-hub technologies like Apache Kafka, RabbitMQ, or AWS Kinesis.

• Data transformation and orchestration tools (dbt, Apache Airflow, or similar) as well as modern data warehousing.

Just as important as the technical side, you communicate well, you are easy to work with, and you bring a calm, structured approach when things get complicated. You follow through on what you commit to, and you are not afraid to flag when something is not working.

Practical Information

Location: Malmö Scope: Full-time Work model: Hybrid, as agreed Employment type: 6-month assignment through A-hub. The recruitment process is managed by A-hub. Questions about the role are answered by the recruiter responsible.