Skills this job asks for
PythonJavaScalaData engineeringCommunicationEnglishSparkMicroservicesKubernetesSnowflakeKafkaMachine learning
Add your CV (free) to see which of these your CV is missing.
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
-
?
No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
-
?
The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
-
?
Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
-
✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
About the role
Hykmann Global Business Solutions AB is looking for a skilled Data Engineer to join an exciting technology-driven assignment focused on building scalable data solutions and backend services.
Duration: 1 Year Contract.
Are you passionate about data engineering, distributed processing, and solving complex technical challenges? This role offers the opportunity to build and maintain data pipelines, develop backend APIs, and contribute to solutions used across a collaborative engineering environment.
We’re looking for someone who combines strong programming skills with a proactive mindset, takes ownership of deliverables, and enjoys sharing knowledge with fellow engineers.
📍 Location: Malmö, Sweden
🏢 Work model: Hybrid – on-site at the client’s office 3 days per week
🎯 About the Role
As a Data Engineer, you will contribute to the design, development, and maintenance of scalable data-processing solutions. You will work with modern data technologies and backend frameworks to ensure reliable access to data and efficient data workflows.
You will collaborate closely with other engineers, provide technical guidance where needed, and help drive continuous improvements across the team's data engineering capabilities.
🔧 Key Responsibilities
Build, maintain, and improve data pipelines using distributed data-processing technologies.
Develop and maintain scalable data solutions that support the team's needs.
Build backend APIs and services to enable efficient and reliable access to data.
Provide technical support and share knowledge with colleagues on data engineering topics.
Identify opportunities for technical improvements and drive initiatives from idea to implementation.
Collaborate with engineers and other stakeholders to design practical, scalable solutions.
Take end-to-end ownership of your work and ensure high-quality delivery.
Contribute to a collaborative, high-trust, and fast-paced engineering environment.
Skills
Python
Scala
Java
Skills & requirements
✅ Required Skills & Qualifications
Professional experience as a Data Engineer or in a similar technical role.
Strong programming skills in Python and Java or Scala.
Solid backend development experience, ideally with Scala Play Framework or an equivalent framework.
Strong general software engineering and problem-solving skills.
Experience developing and maintaining software solutions and data-processing workflows.
A bachelor's degree in a relevant field; a master's degree is a strong advantage.
Excellent written and verbal communication skills in English.
Ability to work independently, take responsibility, and drive tasks forward.
A collaborative mindset with a willingness to share knowledge and support colleagues.
Ability to work on-site at the client's office in Malmö three days per week.
⭐ Nice-to-Have Skills & Technologies
Experience with one or more of the following technologies will be an advantage:
Apache Spark and Apache Flink for distributed data processing.
Apache Iceberg for modern data lake architectures.
Microservices deployed on Kubernetes.
Snowflake for cloud data warehousing.
Apache Kafka for event streaming and data integration.
Akka for concurrent and distributed applications.
Grafana for monitoring and data visualisation.
Machine learning concepts, tools, or practical ML projects.
👤 Our Ideal Candidate
You thrive in an environment where you are trusted to take ownership and make independent decisions. You are analytical, creative, and comfortable tackling challenges with limited guidance.
At the same time, you value teamwork, communicate your ideas clearly, and enjoy helping others succeed. You balance technical innovation with practical delivery and continuously look for ways to improve existing systems an
View original listing ↗