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Data Engineer - Remote

Remote:

Full Remote

Contract:

Fixed term

Experience:

Mid-level (2-5 years)

Work from:

Sweden

Offer summary

Qualifications:

Experience in data query languages (SQL), Proficient with BigQuery and data formats (Parquet, Avro), Skilled in design and maintenance of large-scale data infrastructure, Familiarity with CI/CD and cloud infrastructure on GCP, Understanding of software architecture and design patterns.

Key responsabilities:

Develop data products for a data transformation project
Implement data-intensive solutions for the organization
Collaborate within cross-functional agile teams
Ensure data quality and accessibility across brands
Maintain cloud infrastructure and pipelines efficiently

Agile Search https://www.agilesearch.io/

11 - 50 Employees

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Job description

Your missions

For a client we are looking for a Data Engineer. This is a consulting assignment starting in October and ending in March. You can work 100% remote.

Assignment Description

You will be involved in one of the biggest data transformation projects. As a data engineer, you will be working with building data products in the context of the Data Mesh concept based on 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 data-intensive solutions for a data-driven organisation.

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.

Your Profile

Experience in data query languages (SQL or similar), BigQuery, and different data formats (Parquet, Avro)

Take end-to-end responsibility to design, develop and maintain the large-scale data infrastructure required for the machine learning projects

Have the DevOps mindset and principles to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).

Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code

Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within our client's organisation