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Data Engineer - Marketing & Communication - Q-tech
Build and maintain large-scale data pipelines for a top European loyalty app, integrating AI-driven segmentation and analytics to power personalized marketing campaigns.
Senior Data Engineer (Azure) en remoto
Build and optimize cloud data pipelines using Spark on Databricks, Delta Lake, Airflow, and Azure Data Factory to process and transform large datasets for business decisions.
Senior Data Engineer With Azure
Design and build scalable data pipelines and cloud-native data platforms using Azure, Spark, Databricks, MongoDB, Delta Lake and Airflow to turn raw data into business decisions.
Data Engineer Cloudera CDP
Designs, builds, and operates large-scale data pipelines on Cloudera Data Platform using Spark, Kafka, NiFi, and SQL, ensuring data quality and performance in distributed environments.
Data Engineer Cloudera CDP
Designs, builds, and maintains large-scale data pipelines and distributed architectures on Cloudera Data Platform using Spark, Kafka, NiFi, and SQL.
Senior Big Data Engineer
Design and build scalable big-data pipelines using Apache Spark (Scala/Python), Azure Databricks, and Hive to process large datasets for enterprise clients.
Senior Big Data Engineer
Designs, builds, and optimizes **Big Data pipelines** using **Apache Spark (Scala/Python)**, **Azure Databricks**, and **Hive** to process large-scale datasets for clients and startups, while collaborating with cross-functional teams on distributed data architectures and DevOps workflows.
Data Engineer/Inżynier Big Data
Senior Big Data Engineer builds and optimizes distributed data pipelines using Apache Spark, Azure Databricks, and Hive to enable fast analytics for enterprise clients.
Azure Databricks Data Engineer
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing Data Lakes and Warehouses for high-performance analytics.
Data Engineer Cloudera CDP
Designs, builds, and maintains large-scale data pipelines and distributed processing systems on Cloudera Data Platform using Spark, Kafka, NiFi, and SQL.
Senior Data Engineer
Design and build scalable data platforms (lakehouse, ETL, catalogs) in Python/SQL, using Spark, Airflow, and cloud tools to power AI/ML systems for enterprise clients.
Senior Data Engineer
Designs and maintains large-scale data platforms (lakehouse, pipelines, catalogs) for a quantum/AI software company, ensuring data accuracy, governance, and accessibility for AI/ML and enterprise clients.
Data Engineer - murcia
Build and optimize scalable data pipelines on GCP using BigQuery, dbt, and Airflow to deliver reliable, high-quality datasets for analytics and data science teams.
Data Engineer - bilbao
Builds and maintains data pipelines for a life-science project using Azure, Databricks, Spark, Scala, Airflow, Python, and SQL.
Data Engineer
Build and maintain scalable data pipelines on Databricks using PySpark and cloud tech to power investment analytics for a global financial-services firm.
Data Engineer - Remoto
Build and maintain AI-driven data pipelines for anti-money-laundering systems, transforming raw financial data into features that power real-time fraud detection for global banks and fintechs.
Senior Data Platform Engineer | AWS, Spark & DevOps
Designs and maintains modern AWS-based data platforms, building scalable batch/streaming pipelines, optimizing data lakes/warehouses, and automating deployments with DevOps tools like Spark, Airflow, and IaC.
DevOps Engineer - (Python)
Senior DevOps Engineer specializing in AWS to design, migrate, and automate cloud enterprise platforms for a tech client, focusing on scalability, security, and CI/CD pipelines with tools like Terraform, ECS, and Python.
DevOps Engineer with Python
Senior DevOps Engineer designs, builds, and maintains scalable AWS cloud platforms, automates deployments with Terraform/CloudFormation, and migrates enterprise workloads to secure VDC environments.
Senior Backend Spark Developer (Remote from Spain) - UST España & Latam
Build and optimize large-scale Apache Spark data pipelines in Scala/Python, ensuring performance and reliability for a client-facing platform while collaborating across teams.