Data Engineer – Powering Data-Driven Decisions
Summary
Data engineer (4+ years' experience) building and optimizing ETL/ELT pipelines to power analytics and machine learning, working with big data platforms (Spark, Hadoop, Databricks) and cloud warehouses (Snowflake, BigQuery, Redshift). Hybrid/remote options in Spain; Spanish and English required.
Data Engineer – Powering Data-Driven Decisions
Location: Spain (Hybrid/Remote Options)
Sector: Data & Analytics
Experience Required: 4+ years in data engineering
Languages: Spanish & English
Qualification: Degree in Computer Science, Mathematics, or related field
Position Overview
We are searching for a Data Engineer to build and optimize data pipelines, ensuring high-quality, accessible data for analytics and machine learning.
Key Responsibilities:
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Design and implement scalable ETL/ELT pipelines.
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Manage big data platforms (Spark, Hadoop, Databricks).
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Build and maintain data lakes and warehouses (Snowflake, BigQuery, Redshift).
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Collaborate with Data Scientists and Analysts to provide clean, structured data.
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Ensure compliance with GDPR and data governance best practices.
What You Bring:
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Hands-on experience with Python, SQL, Spark.
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Strong knowledge of cloud-based data platforms (AWS Glue, Azure Data Factory, GCP Dataflow).
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Proven track record building real-time and batch data pipelines.
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Problem-solving skills and a passion for data-driven innovation.
What We’re Looking For
If you are passionate about data and want to shape the backbone of advanced analytics, this role is for you.