Data Engineer, Outbound Logistics & Business IT

Ampstek; Göteborgs kommun; Sur place; SEK 700 000 - 1 100 000; Plein temps

Résumé du poste

Ampstek in Gothenburg, Sweden is seeking an experienced Data Engineer for outbound logistics and business IT to design, build and maintain scalable data pipelines. You will work onsite in Gothenburg with logistics, business, and IT teams to enable data-driven decisions.

Requirements include 8+ years in data engineering, strong SQL, Python/Java/Scala, and experience with cloud platforms and ETL pipelines. Knowledge of logistics domain and streaming tech is a plus.

Qualifications

• 8+ years of experience as a Data Engineer, preferably 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.
• 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.

Responsabilités

• 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.

Connaissances

SQL

Python

Java

Scala

ETL/ELT pipelines

Data modeling

Data warehousing

AI/ML for optimization

Spark

Kafka

Databricks

Large-scale data

Outils

Azure

AWS

GCP

Spark

Kafka

Databricks

Description du poste

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.
• 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.