Data Engineer (Python and Java/Scala skills)

Hykmann Global Business Solutions AB; Malmö kommun; Hybrid; SEK 650,000 - 900,000; Full time

Job summary

Hykmann Global Business Solutions AB in Malmö is seeking a Data Engineer to design and maintain scalable data pipelines and backend services.

You will work with Python, Java/Scala, and modern data tech to deliver reliable data access and efficient workflows, collaborating closely with engineers and stakeholders.

This 1-year contract offers a hybrid work setup, with three days on-site in Malmö and opportunities to own end-to-end data solutions.

Qualifications

• Bachelor's degree in a relevant field.
• Strong programming in Python and Java/Scala.
• Backend development experience, Scala Play Framework or equivalent.
• Experience developing data-processing workflows.
• Excellent English communication skills.
• On-site Malmö three days a week.

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 guidance and collaborate with engineers.

Skills

Python

Java

Scala

Education

Bachelor's degree in a relevant field

Master's degree advantageous

Job description

Data Engineer (Python and Java/Scala skills)

Hykmann Global Business Solutions AB

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.

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.

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.

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.

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 and workflows.

Utbildning

Krav

• Dataingenjör - 5 års erfarenhet eller mer