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.
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.
- 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.