Data Engineer

Role:
Your commitment to staying abreast of emerging technologies and best practices will drive continuous improvement while your adeptness at integrating consolidating and cleansing data from diverse sources will ensure accuracy completeness and reliability. As a person they believe that you can take initiatives which will help the organisation in their datadriven decisions.

Essential requirements:

• MSc in Computer Science and Software Engineering or similar relevant experience.
• Proficiency in Python programming language.
• Strong understanding of SQL for data manipulation and querying.
• Experience with data orchestrators like Dagster Airflow etc.
• Familiarity with database management systems like Snowflake Azure Data Lake etc.
• Expertise in data modelling and transformation using tools like dbt.
• Ability to optimise data pipelines for performance and scalability.
• Excellent problemsolving skills and attention to detail in data management processes.
• Strong collaboration and communication skills to work effectively with data scientists analysts and stakeholders.
• Proactive approach to staying updated with emerging technologies and best practices in data engineering.
• Experience working with cloud platforms such as Azure.
• Experience working in an agile environment with agile methodologies like Scrum Kanban SAFe etc.

Meritorious:

• CI/CD Basic Knowledge and understanding.
• Knowledge of Kubernetes (k8s) for container orchestration and deployment.
• Experience with AI (Artificial Intelligence) and ML (Machine Learning)

Please explain how you meet all the requirements when applying.

Utilization: 100%
Location:Gteborg
Period:
Last day to apply:
We present regularly.This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.