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Senior Data Engineer

2 months ago

Stockholm, Stockholm, Sweden Redeploy AB Full time
About Redeploy Insight

We are a leading provider of modern cloud data platforms, serving clients across the Nordics with enterprise-scale analytical capabilities. Our core focus lies in delivering cutting-edge solutions, including consulting expertise, managed services, and SaaS Data & AI platforms. We take pride in our strategic partnerships with industry leaders such as Microsoft & Databricks, positioning ourselves at the forefront of technological innovation.

Our team has successfully delivered large-scale and innovative data platforms to prominent clients, including Electrolux, Coop, Folksam, PostNord, and Handelsbanken. We are passionate about enabling enterprise-scale analytical capabilities, empowering our clients to gain profound insights and make informed, impactful decisions.

The Role

We are seeking a Senior Data Engineer to join our growing team in Stockholm or Gothenburg. As a Senior Data Engineer, 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 in Data Engineering.

Key Responsibilities
  • Design, implement, and optimize data platforms to meet the data pipeline needs.
  • Ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints.
  • Deal with unanticipated issues swiftly and minimize data loss.
Requirements
  • Technical University degree in Computer Science, Information Technology, or Engineering.
  • At least 3 years of experience as a data engineer or similar role.
  • Familiar with Microsoft Azure Data Lake, Databricks, SQL database, and data warehouse solutions.
  • Experience in designing, implementing, and supporting enterprise-scale ETL / ELT pipelines.
  • Ability to integrate data from a variety of sources using integration and orchestration tools (e.g., Azure Data Factory).
  • Fluency in Swedish and English with good communication skills.
What We Offer
  • A dynamic and collaborative work environment.
  • The opportunity to work with the latest technology and projects within Analytics and AI.
  • A competitive salary and benefits package.
  • The chance to make a meaningful impact on organizations through your passion for Data Engineering.