Data Engineers/Analysts

Posted 05 February 2024
LocationUnited States of America
Job type Permanent
Discipline Data & AI
Contact NameTom Weedon

Job description

Role: Data Engineer

Location: Copenhagen, Denmark

Job Type: Full-time


Our Client is a leading technology consultancy firm dedicated to delivering innovative solutions that empower businesses to thrive in the digital era. Our team is committed to providing cutting-edge technology services and fostering a culture of continuous learning and growth.


Position Overview:

Our client are seeking a skilled and motivated Data Engineer to join our dynamic team in Copenhagen. As a Data Engineer, you will play a key role in designing, implementing, and maintaining data solutions using the Microsoft Azure tech stack. This is an exciting opportunity for a passionate individual with expertise in data engineering and a focus on leveraging Azure technologies.


  • Design, develop, and maintain scalable and efficient data pipelines using Microsoft Azure services.
  • Collaborate with cross-functional teams to understand data requirements and implement solutions that align with business objectives.
  • Implement data processing, transformation, and storage solutions to support analytics and reporting needs.
  • Optimize data infrastructure for performance, reliability, and cost-effectiveness.
  • Work closely with data scientists and analysts to ensure data quality, accuracy, and accessibility.
  • Stay current with industry trends and emerging technologies related to data engineering and the Azure ecosystem.
  • Troubleshoot and resolve issues related to data pipelines and infrastructure.


  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer, with a focus on Microsoft Azure technologies.
  • Strong proficiency in SQL, T-SQL, and experience with relational databases.
  • Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
  • Knowledge of data modeling and database design principles.
  • Familiarity with data integration patterns, ETL processes, and data warehousing concepts.
  • Excellent problem-solving and communication skills.
  • Ability to work effectively in a collaborative team environment.

Preferred Skills:

  • Certifications in Microsoft Azure (e.g., Microsoft Certified: Azure Data Engineer Associate).
  • Experience with Big Data technologies such as Apache Spark.
  • Knowledge of data governance and security best practices in Azure.
Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours