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Data Engineer (Java + Spark) con inglés (Teletrabajo)
Java/Spark data engineer working 100% remotely from Spain on a stable project optimizing calculation and data-processing pipelines, improving application performance, and ensuring code quality alongside data and quantitative specialists. Core stack: Java, Apache Spark, Parquet, JUnit, Git, CI/CD (AWS and quantitative-finance knowledge a plus).
Data Engineer - Azure & Snowflake (Hybrid/Remote)
Data Engineer building, evolving and maintaining data integration and transformation pipelines with Azure and Snowflake, including change control and monitoring to ensure data quality. Onsite in Barcelona for the first 2-3 weeks, then hybrid with the possibility of full remote.
Python & PySpark Data Engineer — Databricks, Remote
Data Engineer at Hopla Software who designs, develops, and maintains ETL/ELT pipelines in distributed Big Data environments, writing clean Python code and optimizing workloads with Databricks and PySpark for efficient resource use.
Data Engineer — Hybrid ML & Credit Risk Pipelines
Data Engineer in Barcelona building and maintaining production-grade data products and ML pipelines for credit risk and fraud models. Owns the ML lifecycle and builds APIs exposing scoring, risk signals, and underwriting features for the company's credit platform.
AI & Data - Data Engineer
Data Engineer at a consulting firm in Málaga, working on a platform-integration project building and maintaining scalable, efficient data solutions. Core stack is Python, Spark and Apache Airflow, with cloud and large-volume data experience valued. Hybrid role (2-3 office days/week); salary up to €50,000 gross/year.