Data Engineer, Outbound Logistics & Business IT

Role: Data Engineer, Outbound Logistics & Business IT Location: Gothenburg, Sweden Work Mode: Onsite Contract: 6 to 12 months Job Overview We are looking for an experienced Data Engineer to join our team in Gothenburg. The successful candidate will design, build, and maintain data solutions that support outbound logistics operations, developing scalable and reliable data pipelines, improving data visibility across logistics processes, and enabling data-driven decision-making. The role requires strong hands-on experience in data engineering, solid programming skills, and the ability to work closely with logistics, business, and IT teams in an onsite environment. Key Responsibilities

• Build and maintain ETL/ELT data pipelines for logistics and business data.
• Integrate data from transportation, logistics, and enterprise systems.
• Develop and optimize data models, data warehouses, and reporting solutions.
• Ensure data quality, reliability, availability, and performance across all data platforms.
• Collaborate with logistics, business, and IT teams to deliver scalable data solutions.
• Support real-time and near real-time analytics for operational insights.
• Automate processes and implement innovative data solutions to improve supply chain efficiency.
• Monitor, troubleshoot, and continuously improve data infrastructure.
• Document data architecture, workflows, and best practices.

Required Skills & Experience

• 8+ years of experience as a Data Engineer, preferably working with large-scale or sensor-based data.
• Strong SQL skills and programming experience in Python, Java, or Scala.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Hands-on experience building and managing ETL/ELT pipelines.
• Good understanding of data modeling and data warehousing concepts.
• Experience working with large and complex datasets.

Desirable Skills

• Experience in supply chain or logistics domains.
• Familiarity with Spark, Kafka, Databricks, or other streaming technologies.
• Experience using AI/ML for optimization, forecasting, or predictive analytics.

Candidate Requirements

• Must be available to work onsite in Gothenburg, Sweden.
• Must have valid work authorisation for Sweden.
• Strong verbal and written English communication skills.
• Ability to work collaboratively with onsite and delivery teams.
• Immediate or short-notice availability would be advantageous.

If you are interested in this opportunity, please share your updated CV along with the following details:

• Total years of experience:
• Relevant Data Engineering experience:
• Cloud platforms (Azure/AWS/GCP):
• Programming languages (Python/Java/Scala) and SQL experience:
• ETL/ELT pipeline experience:
• Data modeling / data warehousing experience:
• Streaming tools (Spark/Kafka/Databricks), if any:
• Supply chain / logistics domain experience:
• Current location:
• Sweden work authorization / visa status:
• Notice period:
• Availability for a call/interview:

Looking forward to your response.