Remote Data Engineer - Remote

Description:

• The position is for a Data Engineer on a consulting assignment starting in October and ending in March.
• The role is fully remote, allowing for 100% remote work.
• You will be involved in one of the biggest data transformation projects.
• As a data engineer, you will work on building data products within the Data Mesh concept based on defined target vision and requirements.
• The company values a multitude of technical backgrounds and seeks individuals who are passionate about data.
• You will implement data-intensive solutions for a data-driven organization.
• The role involves joining the Data Engineering Competence area within AI, Analytics & Data Domain as an individual contributor in one of the data product teams.
• The area supports all brands globally to create, structure, guard, and ensure data is available, understandable, and of high quality.

Requirements:

• You must have experience in data query languages such as SQL or similar, BigQuery, and different data formats like Parquet and Avro.
• You should take end-to-end responsibility for designing, developing, and maintaining the large-scale data infrastructure required for machine learning projects.
• A DevOps mindset and principles are required to manage CI/CD pipelines and terraform, as well as Cloud infrastructure, specifically GCP (Google Cloud Platform).
• You need to leverage your understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code.
• You will work in a cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders to build the AI ecosystem within the client's organization.

Benefits:

• The position offers the flexibility of working 100% remotely.
• You will have the opportunity to work on a significant data transformation project.
• You will be part of a diverse team that values various technical backgrounds and encourages passion for data.
• The role allows for individual contribution in a global context, supporting multiple brands.
• You will gain experience in cutting-edge technologies and methodologies in the field of data engineering and AI.