Job Description

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 Redeploy is a powerhouse of cloud-native specialists, combining Azure, AWS, data, and AI expertise. Our certified strategists, architects, developers, and engineers craft and implement cloud-native solutions, from the initial vision and strategy to developing, migrating, and managing cloud environments. Our teams across Sweden, Germany, Lithuania, and Poland assure enterprises of a comprehensive and integrated approach to their journey, focusing on reliable, secure, and efficient cloud-native solutions. For more information, go to redeploy.com/about
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  About Redeploy Insight
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 At Redeploy Insight, we specialize in building modern cloud data platforms to serve clients across the Nordics to enable enterprise-scale analytical capabilities. Our core focus lies in delivering cutting-edge solutions, including consulting expertise, managed services, and SaaS Data &amp; AI platforms. We take pride in our strategic partnerships with industry leaders such as Microsoft &amp; Databricks, positioning ourselves at the forefront of technological innovation.
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 Redeploy Insight has successfully delivered large-scale and innovative data platforms to Electrolux, Coop, Folksam, PostNord, and Handelsbanken to name a few. Our dedicated team is passionate about enabling enterprise-scale analytical capabilities, empowering our clients to gain profound insights and make informed, impactful decisions.
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 The demand for cloud based analytical platforms is constantly growing and we are now looking for a Senior Data Engineer to join our growing team in Stockholm or Gothenburg. You will work in a fast-paced environment where you will collaborate with some of the most brilliant minds in the field and contribute to the evolution of our platforms with your expertise Data Engineering.
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  About The Role
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 As a Senior Data Engineer in our backend team, you will help to ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. You will deal with unanticipated issues swiftly and minimize data loss. You will also design, implement, monitor, and optimize data platforms to meet the data pipeline needs.
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 In this role we see that you have solid knowledge of data processing languages, such as SQL, Python, or Scala, and an understanding of parallel processing and data architecture patterns.
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   To be considered for the role, we see that you come with the following experiences and skills:
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   Technical University degree in Computer Science, Information Technology or Engineering.
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   At least 3 years of experience as data engineer or similar role
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   Familiar with Microsoft Azure Data lake, Databricks, SQL database and data warehouse solutions.
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   Experience in designing, implementing, and supporting enterprise-scale ETL / ELT pipelines.
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   Ability to integrate data from a variety of sources using integration and orchestration tools (e.g. Azure Data Factory).
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   Fluency in Swedish and English with good communication skills.
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  You are
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   A Social team-player with drive and positive attitude
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   Analytical, communicative, and driven
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   A flexible person with &ldquo;Can-do mentality&rdquo;
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   Experienced in planning and executing in your projects
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  You would like to work with us if you
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   Want to work with the latest technology and projects within in Analytics and AI
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   Are motivated by customer challenges
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   Like to work in teams and are humble
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   Want to be in a workplace where your thoughts are valued, and your ideas make an impact
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  How To Apply
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 If you're ready to launch your career and make a meaningful impact on organizations through your passion for Data Engineering, then don&rsquo;t hesitate to send in your application by hitting the apply button.
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 We look forward to hearing from you!
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   Note:
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  To be eligible for the role you need to be based in Stockholm or Gothenburg, or have plans to relocate to either of the locations.
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