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Data Engineer

icon building Company : Atlas Copco
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Data Engineer



 


Your role

Did you know that the solutions we develop are a key part of most industries? Electronics, medical research, renewable energy, food production, infrastructure and many more.


           


We´re everywhere! Working with us means working with the latest technologies and groundbreaking, sustainable innovations. With our inclusive and caring environment, you get the support and inspiration you need to grow.


 


Within the Service Division of Compressor Technique, we are committed to achieving optimal availability of components and services, ensuring our clients receive exceptional service. Our data team spans three locations and includes members from ten different nationalities, all working together to deliver data-driven insights. The solutions we develop empower 10,000 individuals in the service division to make informed, day-to-day decisions.


 


We’re seeking a Senior Data Engineer passionate about building scalable data pipelines, optimizing data flows, and enabling data-driven decision-making. You will collaborate across departments to shape purposeful data products and ensure insights are accessible and actionable.


 


In this role, you will design and build a secure, reusable code base as well as data assets and pipelines (ETL/ELT). Together with the product team, you will take ownership of end-to-end data products by defining their purpose, roadmap, and delivery. You will also advise on data model design and overall architecture, ensuring robust and scalable solutions. Additionally, you will collaborate closely with stakeholders and the product team to deliver dashboards and Intelligent Agents that support our Operations and Technical Support departments.

To succeed, you will need

At Atlas Copco Group, our slogan for various positions is "hire for attitude & train for skill". We train you for these positions through on-the-job-training. Do you only partly meet the profile as outlined below? No problem! We still encourage you to apply and take this opportunity. Who knows, on-the-job-training may be available for you for this position.


 



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

  • Fluent in English, both oral and written

  • 3–6 years of experience in data engineering, with strong skills in SQL, Python, and data modelling

  • Experience with BI principles, dimensional modelling, and data visualization is a plus

  • Familiarity with cloud data platforms and documentation practices, with knowledge of Azure tools (e.g., Databricks) considered a plus

  • Interest in modern technologies and industrial data contexts, along with an understanding of agile methodologies or product ownership principles

In return, we offer

At Atlas Copco Group you will join an international and diverse environment with specialists from different disciplines. Our culture is rooted in Swedish values, which includes a family feeling, respect and diversity. We invest in our employees' development and well-being, and we provide a flexible work-life balance. With our inclusive and caring environment, you get the support and inspiration you need to grow. Here, your ideas are embraced, and you never stop learning.


 


You will have a comprehensive onboarding program, including guidance by a personal godmother/godfather. You will also have access to global job opportunities, as part of the Atlas Copco Group. We offer an interesting compensation and benefits package, including health insurance, paid leave and retirement benefits.

Job location

This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on-site at Airpower in Wilrijk, Belgium (BE).


 


Uniting curious minds
Behind every innovative solution, there are people working together to transform the future. With careers sparked by initiative and lifelong learning, we unite curious minds, and you could be one of them.


Original job Data Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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