Senior Data Engineer

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M3 USA

πŸ“Remote - United Kingdom

Job highlights

Summary

Join our innovative engineering team as a Senior Data Engineer, designing complex applications and developing software development concepts.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience
  • Minimum Experience: 5+ years of experience in data engineering or related fields
  • 2+ years of experience with Power BI or similar data visualization tools
  • Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools)
  • Strong experience with Power BI for data visualization and reporting
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
  • Experience with data modelling, data warehousing, and designing scalable data architectures
  • Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL)
  • Experience working in an Agile development environment
  • Excellent communication skills to work effectively with both technical and non-technical stakeholders
  • Ability to multi-task and manage multiple projects simultaneously
  • Problem-solving mindset with a desire to continuously improve data processes

Responsibilities

  • Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently
  • Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs
  • Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals
  • Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools
  • Provide guidance on best practices for data management, security, and compliance
  • Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights
  • Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines

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