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Data Engineer
Job description
Data Engineer | Leading Analytics Partner | Attractive Working Environment
Copenhagen, Denmark
Company
Our client is a leading Nordic player when it comes to Data and Analytics. They have years of market experience, a highly talented team, and an agile working environment. They pride themselves on having a healthy working culture whilst offering the opportunity to work on Denmark’s most interesting projects.
Although they are a leader in the Business Intelligence and Advanced Analytics market, they are a smaller company with a healthy working culture, flat hierarchy, and they treat all their employees as individuals. These factors combined with the fact they still compete with the ‘big players’ for projects, makes them an incredibly exciting company to work for.
Responsibilities
Requirements
If this opportunity sounds like it could be interesting for you, please don’t hesitate to apply, or reach out to me directly!
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.
Copenhagen, Denmark
Company
Our client is a leading Nordic player when it comes to Data and Analytics. They have years of market experience, a highly talented team, and an agile working environment. They pride themselves on having a healthy working culture whilst offering the opportunity to work on Denmark’s most interesting projects.
Although they are a leader in the Business Intelligence and Advanced Analytics market, they are a smaller company with a healthy working culture, flat hierarchy, and they treat all their employees as individuals. These factors combined with the fact they still compete with the ‘big players’ for projects, makes them an incredibly exciting company to work for.
Responsibilities
- Designing and implementing data pipelines for ingestion, processing, and storage.
- Developing and maintaining data warehouses and data lakes on Snowflake or within the Azure ecosystem.
- Optimizing performance and scalability of data infrastructure.
- Monitoring and troubleshooting data pipelines for efficiency and reliability.
- Automating data workflows and processes for streamlined operations.
- Implementing best practices for data governance, including data lineage and metadata management.
Requirements
- Strong experience within building data pipelines in either a Snowflake or Azure environment
- Skills in ETL processes with the likes of Azure Data Factory, Snowflake Data Pipeline
- Knowledgeable in cloud computing, data warehousing, data modeling, data visualization etc.
- Experience with SQL
- Fluent Danish and English language skills – written and verbal
- Located in the Copenhagen region
If this opportunity sounds like it could be interesting for you, please don’t hesitate to apply, or reach out to me directly!
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.