Data Engineer Specialist

8 hours ago


Stockholm, Stockholm, Sweden Redeploy Full time

About Us

At Redeploy Insight, we provide premium IT-consulting services and specialize in building modern cloud data and AI/ML platforms to empower enterprise companies in the Nordics. With our deep expertise in cloud, data, and AI technologies, coupled with strategic partnerships with Microsoft, AWS, and Databricks, we shape the future of data and deliver tailored impactful and scalable solutions.

We believe in collaboration, driving business value, and technical excellence. As a leader in the field, we're looking to strengthen our team with several Data Engineers who want to be part of our continued growth and success story.

What it means to be a Data Engineer at Redeploy

As a Data Engineer with us, you'll get the opportunity to work with the latest technologies in Microsoft, AWS, and Databricks. We work in teams and deliveries, which means you'll collaborate and work together with your fellow colleagues and data specialists to help our clients gain deeper insights and make data-driven decisions by delivering modern and scalable data platforms.

Your tasks as a Data Engineer will involve designing, developing, and maintaining automated workflows and pipelines to retrieve, organize, optimize, structure, and transform data from various sources. But this role isn't just about the technical work – you'll also engage directly with clients, explaining complex technical solutions, understanding their unique needs, and navigating challenges.

Who are we looking for?

We're seeking self-motivated and responsible problem solvers who enjoy sharing knowledge and helping others. You thrive in the consultant role and strive to deliver actual value to your clients by identifying the need for changes, daring to question routines, and constantly coming up with suggestions for improvements.

Proficiency in both Swedish and English is essential for our national and international clients. A university degree in Computer Science, Information Technology, or Engineering is required, along with experience working with cloud and tools surrounding the data domain. Strong expertise in data structures, data processing, and data modeling techniques is also necessary.

What experiences do you bring?

  • A university degree in Computer Science, Information Technology, or Engineering
  • Experience working with cloud and tools surrounding the data domain
  • Strong expertise in data structures, data processing, and data modeling techniques
  • Proficiency in version control with Git and experienced in implementing CI/CD pipelines for automated testing and deployment

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