Senior Data Engineer — Hybrid, End-to-End Data Pipelines

Atlas Copco

Antwerpen

Hybrid

EUR 65,000 - 90,000

Full time

15 hours ago
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Benefits offered by this job

Health insurance
Paid leave
Retirement benefits

Job summary

Atlas Copco in Belgium is seeking a Senior Data Engineer to design and build scalable data pipelines, ensuring robust data assets and governance in a hybrid work setting. You will own end-to-end data products with the product team, advise on data model design, and collaborate across departments to deliver dashboards, APIs, and automated tools for our global logistics organization.

The role emphasizes modern data platforms, cloud services, and an agile mindset, with opportunities to grow within a

Qualifications

  • Degree in Computer Science, IT, Engineering, or equivalent experience.
  • Fluent in English, both oral and written.
  • 3–6 years of experience in data engineering; strong SQL, Python, and data modelling.
  • Experience with BI, dimensional modelling and data visualization is a plus.
  • Familiarity with cloud data platforms and Azure tools (Databricks) is a plus.
  • Interest in agile methodologies or product ownership principles.

Responsibilities

  • Design and build secure, reusable data pipelines and data assets.
  • Own end-to-end data products with roadmap and delivery.
  • Advise on data model design and architecture.
  • Deliver actionable data solutions with dashboards, APIs, and tools for logistics.

Skills

SQL
Python
Data modelling

Education

Degree in Computer Science, IT, Engineering, or equivalent experience

Tools

Databricks
Azure cloud

Job description

Atlas Copco in Belgium is seeking a Senior Data Engineer to design and build scalable data pipelines, ensuring robust data assets and governance in a hybrid work setting. You will own end-to-end data products with the product team, advise on data model design, and collaborate across departments to deliver dashboards, APIs, and automated tools for our global logistics organization.

The role emphasizes modern data platforms, cloud services, and an agile mindset, with opportunities to grow within a

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