Data Engineer
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CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 200 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO2 footprint of all Western European RoRo operators. CLdN’s cargo and multimodal services have a Europe-wide reach using CLdN’s extensive network of ships, terminals and equipment. CLdN’s 3,000 employees ensure that it fulfills its mission: to excel as an integrated provider of maritime links.
Within this challenging role, you will
build robust and scalable data solutions that ensure reliable, high-quality data is available across the organisation, enabling smarter, data-driven decision-making in a dynamic maritime environment.
Your role
Data Pipeline Ownership: end-to-end responsibility for extracting, cleansing, transforming and delivering data into our DWH and medallion architecture.
ETL & Automation: building, automating and optimizing ETL processes that ensure reliable and efficient data flows across the organisation.
Azure Platform Engineering: setting up, maintaining and improving the Azure-based data platform (Databricks, Data Factory, EventHub, DevOps pipelines) to guarantee stability, scalability and performance.
Infrastructure as Code: managing and automating cloud infrastructure using Terraform, ensuring consistent and secure deployments.
Release & Deployment Management: executing deployments across development, acceptance and production environments via Azure DevOps.
Data Modeling & Contracts: designing business-oriented datamodels, maintaining data contracts, and ensuring the DWH supports operational and analytical needs.
Quality & Monitoring: safeguarding data quality across all pipelines, proactively detecting issues, and ensuring smooth, stable data delivery.
Cross-functional Collaboration: working closely with data analysts, functional analysts, developers and application owners to translate business needs into robust data solutions.
Documentation & Standards: documenting pipelines, models and platform components according to development and architectural guidelines.
Your profile
5 years technical expertise across Azure data services (Data Factory, Databricks, EventHub), Terraform, Azure DevOps pipelines, Python, SQL and dbt, with the ability to translate complex data landscapes into clear, scalable solutions.
Strong data modeling capability, familiar with Inmon, Kimball and DataVault, and able to design models that balance business needs with architectural best practices.
Analytical and conceptual thinker who understands end-to-end data flows, identifies long-term implications, and makes well-founded technical choices.
Clear and adaptable communicator, able to explain technical concepts to both technical and non-technical audiences and build trust across teams.
Proactive problem solver who anticipates issues, drives automation, and ensures high standards for data quality, documentation and maintainability.
Hands-on delivery mindset, combining solid engineering skills with structured and reliable execution across development, deployment and operational follow-up.
Our offer
Compensation & Additional Benefits
Competitive gross monthly salary in line with your qualifications and experience
Meal vouchers
Eco vouchers
Sectoral bonus according to applicable sector regulations
A work-from-home allowance for each remote day
Working Hours & Additional Leave
Full-time contract of 38 hours per week
5 extra days off in addition to statutory vacation days
Hybrid working: max. 3 days per week after 6 months
Work hours with flexible start (7:30–9:30 AM) and finish (4:00–6:00 PM)
Insurance
Group insurance
Hospitalisation insurance with the option to add family members, with an additional contribution for each member included
Mobility
Company car with fuel card, poolcar at the start
After the initial period: option to order an electric car within our company car policy
Contact
Are you interested in learning more about this position or do you want to apply?
Do not hesitate to send your CV to Recruitment.BE@cldn.com with reference “Data Engineer”.