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Job description

Senior Google Cloud Data Engineer

Objective: Designs, builds, and maintains scalable data solutions using Google Cloud technologies. Enables advanced analytics and supports the implementation of robust data architectures for clients.

Key responsibilities:

• Develop data pipelines and ETL processes using Google Cloud Platform.
• Integrate and manage large datasets for analytics projects.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Ensure data security and compliance within cloud environments.

Key skills:

• Expertise in Google Cloud technologies (e.g., BigQuery, Dataflow, Pub/Sub).
• Programming skills in Python, SQL, or similar languages.
• Experience with big data frameworks and tools.

Typical profile:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Several years of experience in cloud data engineering roles.

About Datashift

What we do: Datashift specializes in Artificial Intelligence, Business Analytics, Data Governance, Data Science, and Data Engineering. We empower organizations to become truly data-driven by offering end-to-end data services from strategy to implementation. Our focus is on creating long-term value for clients through data-driven decision-making.

Where we are located: Our headquarters is situated at Oude Brusselsestraat 14, 2800 Mechelen, Belgium.

Short history: Founded in 2015, Datashift was inspired by its co-founders who combined deep business knowledge with data analytics and technology expertise.

Organization & culture: Datashift employs between 51 and 200 people and fosters a culture of mutual trust and collaboration. We invest in training and development, staying updated on the latest data technologies.

Recent developments: Datashift recently welcomed new graduates to its team and participated in the Data News Awards ceremony, celebrating strong client relationships.

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