Job description
Do you want to help an international company in their plight to become more data-driven?
I have an opportunity in which you can do just that! One of my clients in the Manufacturing industry based in the heart of Gothenburg are developing a company wide Data Layer, enabling them to deliver data driven self-service throughout the entire value stream. This Data Layer is built on cloud native technologies, state of the art cloud-based data warehouse like Snowflake and analytical pipelines like AWS SageMaker.
You will be working in an agile team and in close collaboration with other agile teams in the Data Factory. This is a great opportunity to be part of an exciting journey to design their global Data Layer which is continuously developing to serve our internal and external customers.
Your day-to-day work
Working as a Data Engineer in an Agile DevOps team to continuously deliver value to our customers- Delivering designing and delivering state of the art data models to enable data science and business intelligence
- Contribute to design a modern Data Layer architecture complying with SKF security and architecture guidelines
- Actively contribute to the success of the agile team
- Estimate, plan and manage actual work, based on the prioritized backlog, including
- Collaborate with other agile teams to ensure alignment and competence sharing
- Level 3 support for incidents to ensure high quality delivery to end users
Your profile
Senior experience (8 years) as a Data Engineer- Experience in cloud data warehouse technologies
- Experience in advanced analytical tools, preferable AWS Sagemaker
- Experience in data warehouse automation
- Experience in agile data warehousing methodologies
- Team player and ability to work in an international environment
