Data Engineer

Yusen Logistics
Antwerp, Belgium
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Antwerp, Belgium

Tech stack

Azure
Information Systems
Computer Programming
Information Engineering
Data Governance
Data Mart
Data Vault Modeling
Data Warehousing
Python
SQL Databases
Azure
GIT
PySpark
Information Technology
Data Pipelines
Databricks

Job description

As a Data Engineer, you will be responsible for designing, building and optimising our Enterprise Data Warehouse and the data pipelines that power it. You will work with modern cloud technologies on Microsoft Azure and help transform raw data into valuable insights for the business., * Designing, building and maintaining ELT data pipelines using Azure Data Factory and Azure Databricks

  • Developing scalable data transformations using dbt
  • Building and maintaining Data Vault models within the Enterprise Data Warehouse
  • Designing Kimball dimensional models for downstream data marts and analytics use cases
  • Optimising performance and cost efficiency within the Azure data platform
  • Implementing CI/CD pipelines through Azure DevOps
  • Monitoring data pipelines and resolving incidents quickly and effectively
  • Ensuring strong data governance, security and compliance (including GDPR)
  • Collaborating closely with data engineers, analysts and stakeholders to deliver high-quality data products

Through your work, you ensure that our data is reliable, scalable and ready to power decision-making across the organisation.

What you bring We are looking for a data professional who combines strong technical expertise with analytical thinking and a delivery-focused mindset., Working at Yusen Logistics means becoming part of a global organisation where innovation, collaboration and continuous improvement are key.

Requirements

  • A Bachelor's degree in Computer Science, Information Systems, or a related field
  • Approximately 3-5 years of experience in data engineering or data warehouse architecture
  • Experience building data pipelines on Azure (Databricks, Azure Data Factory)
  • Strong programming skills in SQL and Python (PySpark)
  • Experience with dbt for data transformations and testing
  • Knowledge of Data Vault and Kimball data modelling techniques
  • Experience with Git and CI/CD pipelines, preferably Azure DevOps
  • Experience working in Agile environments

You are also:

  • Analytical and solution-oriented
  • Detail-oriented with a strong focus on data quality and documentation
  • A collaborative team player who enjoys sharing knowledge
  • Someone who takes ownership and delivers projects end-to-end
  • Curious and continuously developing your technical skills

Benefits & conditions

  • An impactful role within a modern data platform environment
  • A high degree of ownership, responsibility and freedom in your role
  • Collaboration with international teams and experienced data professionals
  • Opportunities for continuous learning, certifications and career development
  • A competitive salary and attractive benefits package

You will join an organisation where teamwork, entrepreneurship and continuous improvement are part of our daily way of working. Together, we are building the data-driven supply chains of tomorrow.

About the company

At Yusen Logistics, we are working every day towards our ambition of becoming the world's preferred supply chain logistics company. Through our expertise in freight forwarding, warehousing, transportation and supply chain management, we connect businesses, markets and communities around the globe. But behind every smart logistics movement lies powerful data. That is why we are looking for a Data Engineer who will play a key role in building and developing our modern data platform. Someone who thrives on designing scalable data pipelines, building reliable data architecture and enabling data-driven decision making across the organisation. You will join our Data Platform & Engineering team, where technology, innovation and collaboration come together to make our global logistics operations smarter and more efficient.

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