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Cloud Data Engineer
Build and maintain cloud-based data pipelines for a global fintech firm, using Python, Spark, and Azure to enable analytics and reporting.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.
Data Engineer (Madrid)
Builds and maintains scalable data pipelines for a banking project using Spark, Scala, Airflow, and CI/CD, ensuring data quality and security.
Lead Data Engineer
Lead a data engineering team to build scalable analytics pipelines and models for a large European automotive marketplace, using Python, Spark, Airflow, and SQL.
Data Engineer II
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Data Engineer - Fabric & AI Pipelines (Hybrid)
Designs and builds data ingestion pipelines, lakehouses, and datasets in Microsoft Fabric and Power BI, using Spark notebooks and DevOps best practices.
Data Engineer Databricks
Build and optimize scalable data pipelines on Databricks using the Medallion architecture, SQL, and PySpark to deliver modern data solutions for enterprise clients.
Data Engineer III
Builds and maintains data pipelines, warehouses, and AI integrations for a SaaS travel-expense platform using Snowflake, Databricks, AWS, and Looker.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks, implementing Medallion architecture and SQL transformations for enterprise clients.
Data Engineer Fabric
Build and maintain scalable data pipelines and lakehouses using Microsoft Fabric and Power BI, automating ingestion, transformation, and CI/CD workflows for analytics solutions.
Data Engineer - Developer
Build and maintain scalable data pipelines and platforms using Spark, Scala, Kafka, and cloud tech to enable analytics and decision-making across BNP Paribas.
Senior Data Engineer
Senior Data Engineer builds scalable data pipelines, ETL/ELT processes, and cloud-based analytics platforms using Python, Spark, AWS, and modern data stacks to power AI-driven solutions.
Senior Data Engineer
Senior Data Engineer builds and scales reliable, high-quality data pipelines and governance at a global market-research analytics firm using Python, SQL, Airflow, Spark, and AWS.
Data Engineer AWS
Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
Data Engineer
Build and maintain scalable data pipelines and cloud architectures to ingest, transform, and serve reliable data for analytics and reporting across hybrid environments.
Data Engineer
Build and own the data foundation: reliably land source data into Snowflake, process it on Databricks, and instrument clean product telemetry so data scientists can trust and use it.
Data Engineer
Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Data Engineer
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Data Engineer
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.