You will be involved in one of the biggest data transformation journeys within our organization. As a data engineer you will be working with building of data products in the context of the Data Mesh concept based on a defined target vision and requirements.
We appreciate a multitude of technical backgrounds and we believe you will enjoy working here if you are passionate about data. In this role you will be required to implement dataintensive solutions for a datadriven organization.
You will join the Data Engineering Competence area within AI (Artificial Intelligence) Analytics & Data Domain and be an individual contributor in one of the data product teams. The area supports all our brands globally to create structure guard and ensure data is available understandable and of high quality.
Responsibilities
- Take endtoend responsibility to build optimize and support existing and new data products toward the defined target vision
- Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure in our context it is GCP (Google Cloud Platform).
- Ensure that our built data products work as independent units of deployment and that nonfunctional aspects of the data products follow the defined standards for security scalability observability and performance.
- Work closely with the Product Manager and other stakeholders around a vision for existing data products and identifying new data products to support our customer needs
- Work with product teams within and outside our domain around topics that relate to the data mesh concept.
- Evaluate and drive continuous improvement and reduce technical debt in the teams
- Maintain expertise in latest data/analytics and cloud technologies
Requirements
Qualifications
- Passion for Data people and technology
- At least 4 years handson work experience as a Data Engineer on GCP/modern cloud data platforms or advanced analytics environments.
- Experience in cloud technologies and infrastructure
- Experience in GCP tools DBT and Bigquery
- Experience in different data formats (Parquet Avro)
- Experience in data query languages (SQL or similar)
- Experience in datacentric programming using one of more programming languages (Python Java or Scala)
- Good understanding of different data modeling techniques and tradeoffs
- Knowledge of NoSQL and RDBMS databases
Additional Skills
- Have a collaborative and cocreative mindset with excellent communication skills
- Motivated to work in an environment that allows you to work and take decisions independently
- Experience in working with data visualization tools
- Fluent in English both written and verbal
- Advantage if you also have a Business understanding of the retail industry