Data Engineer
Hace 3 días
Madrid, Area Metropolitana (comarca); Comunidad de Madrid, España
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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
Design and implement scalable ETL/ELT pipelines. Manage big data platforms (Spark, Hadoop, Databricks). Build and maintain data lakes and warehouses (Snowflake, BigQuery, Redshift). Collaborate with Data Scientists and Analysts to provide clean, structured data. Ensure compliance with GDPR and data governance best practices. What You Bring: Hands-on experience with Python, SQL, Spark. Strong knowledge of cloud-based data platforms (AWS Glue, Azure Data Factory, GCP Dataflow). Proven track record building real-time and batch data pipelines. 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. #J-18808-Ljbffr
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
Design and implement scalable ETL/ELT pipelines. Manage big data platforms (Spark, Hadoop, Databricks). Build and maintain data lakes and warehouses (Snowflake, BigQuery, Redshift). Collaborate with Data Scientists and Analysts to provide clean, structured data. Ensure compliance with GDPR and data governance best practices. What You Bring: Hands-on experience with Python, SQL, Spark. Strong knowledge of cloud-based data platforms (AWS Glue, Azure Data Factory, GCP Dataflow). Proven track record building real-time and batch data pipelines. 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. #J-18808-Ljbffr