Cloud Data Engineer

Making Science
Madrid, Spain
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Airflow BigQuery Data Integrity Extract Transform Load (ETL) Python (Programming Language) Power BI SQL Databases Google Cloud Google Data Studio Serverless Computing

Job description

Making Science is seeking a data engineer to design, build, and maintain scalable data solutions on Google Cloud Platform, improving data models with Airflow, Dataform, and BigQuery. You will develop serverless apps with Cloud Run/Functions, and create dashboards in Looker Studio or Power BI while ensuring data integrity and timely ETL processes.

Requirements

The role requires 2-3 years of experience and a solid foundation in SQL and Python, with an undergraduate technical degree.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

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Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

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