Senior Data Engineer

JOB DESCRIPTION

Erasteel is a leading producer of Powder Metallurgy High-Speed Steel for high performance tooling and components. As our new Senior data Engineer you will have the Opportunity to shape the data engineering and analytics practices in a small, dynamic team. 

Key Responsibilities: 

• Azure Synapse Pipelines: Design, develop, and maintain scalable data pipelines using Azure Synapse. 
• Data Visualization: Build and optimize data models and Power BI reports to support business intelligence needs. 
• Data Science Support: Collaborate on data science projects, focusing on data preparation, feature engineering, and modeling. 
• SQL Expertise: Utilize advanced SQL skills for data manipulation, optimization, and integration tasks across large datasets. 
• Storage Account & Data Lake: Leverage advanced knowledge of Azure Storage Account and Data Lake for efficient data storage, management, and integration.
• CI/CD Pipeline Management: Implement and manage CI/CD pipelines for automated deployment and testing, using Azure DevOps.
• Azure Functions: Maintain the existing Azure Functions (.Net & PowerShell) and enhance them if needed.
• Code Quality and Standards: Establish and enforce coding best practices, ensuring maintainability, scalability, and performance. 
• Stakeholder Collaboration: Work closely with stakeholders to understand data requirements and deliver actionable insights. 
• Workflow Optimization: Troubleshoot and optimize data workflows to ensure reliability and efficiency. 
   

YOUR PROFILE

Education and experience: Bachelor’s degree in computer science with a minimum of 10 years of experience, or a Master’s degree with at least 5 years of experience in Computer Science, Information Technology, or Applied Mathematics. Experience in a similar role within a small or startup environment is preferred.

If you are a senior full-stack developer with a strong interest in data engineering—demonstrated through recent projects or certifications—and substantial experience with Azure or AWS, we encourage you to apply. We value diverse skill sets and welcome candidates eager to grow into a dedicated data engineering role.

Technical Expertise:

• Strong hands-on experience with Azure Synapse Analytics, Power BI, and related tools. 
• Proficiency in SQL with a track record of writing efficient, maintainable, and complex queries. 
• Experience in data preparation, cleaning, and modeling to support data science projects.
• Solid understanding of data warehousing concepts and best practices.
• Proficiency in programming languages like Python or R for ETL/ELT and data science tasks.
• Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.

Preferred Qualifications: Familiarity with other Azure services like Key Vault, Data Factory or Databricks. Knowledge of containerization (Docker/Kubernetes) and orchestration tools.

Soft skills: Excellent communication and collaboration abilities, problem-solving abilities and a proactive approach to identifying challenges and opportunities in the data ecosystem.

Language skills: Fluency in English and Swedish, both written and spoken. Knowledge of French is an advantage.

OTHER

Location: Söderfors

How to apply: click the red button "sök detta jobb" (apply for this job). Please include examples of projects where you’ve implemented data pipelines, CI/CD processes, Power BI solutions, or contributed to data science efforts.

For more information, please contact: HR Partner Jennifer Nyberg, 070 665 20 32 or Recruiting Manager Amel Benali, 070 144 55 60