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    Data Platform Engineer - Antwerp, België - Atlas Copco

    Atlas Copco
    Atlas Copco Antwerp, België

    Gevonden in: Talent BE C2 - 4 dagen geleden

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    Beschrijving
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    Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.

    Join us on our journey for a better tomorrow.

    At Atlas Copco CTS, we are on a mission to revolutionize how data is managed, processed, and utilized across our organization. Leveraging the power of Databricks on Azure, we are constructing a state-of-the-art data platform that serves as the backbone for all data products within our company. Our vision is to transition towards a data mesh architecture, ensuring scalability, flexibility, and accessibility of data for all teams. We value collaboration, innovation, and the pursuit of excellence in our journey to empower decision-making and foster a data-driven culture.

    We are looking for a talented Platform Engineer to join our dynamic data and analytics platform team. As a Platform Engineer, you will play a crucial role in developing, maintaining, and optimizing our data platform. Your expertise will drive the evolution of our platform, enabling seamless end-to-end transformation from raw data to insightful data products shared across the organization. You will collaborate closely with data product teams to understand their needs, challenges, and opportunities, ensuring the platform supports a wide range of data initiatives.

    Your role

  • Design, implement, and manage the infrastructure and services of our data platform on Databricks and Azure.
  • Work closely with data engineers, data scientists, and other stakeholders to provide a scalable, reliable, and efficient data platform.
  • Contribute to the architecture and design decisions of the platform, aligning with the principles of data mesh to promote domain-oriented decentralized data ownership and architecture.
  • Ensure platform scalability, performance, and security, implementing best practices and innovative solutions.
  • Collaborate with cross-functional teams to support data product development, from inception to deployment, ensuring smooth data integration and processing workflows.
  • Participate in continuous learning and training to stay updated on the latest trends and technologies in data platform development.

    • To succeed, you will need

  • Master's degree in Computer Science, Information Technology, Engineering, or other related field.
  • Strong expertise in Azure and Databricks, including infrastructure as code, data lake storage, and ETL processes.
  • Excellent problem-solving skills, with a strong emphasis on innovation and the ability to adapt to changing technologies and requirements.
  • Proven experience in platform engineering, especially within a data and analytics context.
  • Familiarity with data mesh principles and experience in implementing or working within a data mesh architecture.
  • Good collaboration and communication skills, with a passion for working in cross-functional teams to achieve shared goals.

    • In Return we offer

    You will work in 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. We offer an interesting compensation and benefits package, including health insurance, paid leave and retirement benefits.

    Home office is according to company policy and location is in Antwerp.

    We cannot provide a work permit for this position.

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