SQL, Python, Azure Data Factory, Azure Data Lake
For one of our customers, we are now looking for a Data Engineer in cloud-based data warehouse solutions.
Our customer is looking for an experienced and technically sharp Data Engineer to maintain and monitor their data warehouse solution. The assignment includes updates and development of ADF solutions for e.g. management of file loads and file exports. It's their new cloud-based information supply platform that uses Azure and Snowflake. Our customer needs to strengthen the competence of their system team in the management of ingestion of data from the base systems. The system team is part of their agile release train that works according to SAFe®.
The assignment also includes:
This is part of the effort to increase the degree of automation in all parts of SDLC. This is primarily done through pipelines that link our client's framework. Their pipelines are primarily implemented in Python.
Necessary competencies for the assignment:
Our customer is looking for you with relevant education in computer science or equivalent work experience. You should be interested, committed and focused on placing yourself at the forefront of our client's team when it comes to new technology and development. The role also includes knowledge sharing and skills transfer among other staff. They place great emphasis on collaborative skills, creativity and responsibility in the ambition to deliver the best possible value for customers and owners in the future as well.
Experience:
Minimum 3 years experience:
Minimum 1 year of experience:
Understanding of:
Shell requirements:
Requirements:
Personal qualities: Yes
Our customer places great emphasis on collaborative skills, creativity and responsibility in their ambition to deliver the best possible value for our customers and owners in the future as well.
Date: 2025-03-17 to 2025-09-30
Option for extension: Yes
Location: Stockholm, partly remotely
Scope: 100%
Language: Swedish