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Senior Data Engineer - SAP, AWS & Airflow | Hybrid/Madrid
Senior Data Engineer builds and maintains data pipelines using SAP, AWS, Spark, Python/SQL, and Airflow for EMEA clients in a hybrid Madrid role.
Senior Data Engineer — Build a Global Lakehouse Platform
Senior Data Engineer builds scalable data pipelines and a Lakehouse architecture for payments and marketing analytics across AWS and GCP using Dagster/Airflow and IaC.
Data Engineer on GCP: Remote + BigQuery & ETL Pipelines
Design and build ETL/ELT data pipelines on Google Cloud Platform with BigQuery, using Python, SQL, Spark, Airflow and DevOps practices.
Senior Data Engineer | Spark & Databricks on Azure
Designs and builds scalable data pipelines on Azure using Spark, Databricks, Delta Lake, and Airflow to support digital-transformation projects in a multicultural team.
Hybrid Senior Data Engineer — AWS, Snowflake & dbt
Design and maintain scalable cloud data platforms using Python, SQL, AWS, Snowflake, dbt, and Airflow to power analytics and BI.
Remote Platform Data Engineer - ETL, AWS, dbt & Airflow
Designs and optimizes cloud-based ETL/ELT pipelines and data lakes using AWS, dbt, Airflow, and Terraform to deliver data products for analytics teams.
Data Engineer - AWS & Snowflake - Pharma sector
Build and maintain cloud data pipelines and warehouses for a pharma analytics platform using AWS, Snowflake, dbt, Airflow, Python and SQL.
Analytics & Products Data Engineer — AI-First, Remote
Build and maintain scalable data pipelines in Databricks and Airflow, design robust data models, and ensure data quality for AI-first product analytics.
Data Engineer | Up to 55k | Hybrid role
Builds and maintains ETL pipelines and data warehouses on GCP to feed AI-driven marketing systems, using Python, SQL, dbt, and Airbyte.
Data Engineer SQL + Google Cloud 100% remoto
Data Engineer builds and maintains ETL pipelines using SQL, Python, and Google Cloud tools like BigQuery and Airflow for a client project.
Senior Data Engineer - Finance & SAP Data Platform
Lead the design and scaling of a finance-focused data platform, integrating SAP and other sources with a data lake and building ETL/ELT pipelines using Airflow and Kubernetes.
Senior Big Data Engineer — Remote, Lakehouse & AI-Ready
Design and build end-to-end big-data pipelines using Spark, Python, Scala, Airflow and Databricks, and define Lakehouse and Data Mesh architectures in cloud environments.
Data Engineer: Spark, Databricks & Cloud Lakehouse
Builds scalable data pipelines using Databricks, Spark, Airflow and Iceberg to power modern lakehouse platforms for Atos’ digital-transformation projects.
Data Engineer | Big Data / Spark | Hybrid Madrid Banking
Builds and maintains big-data pipelines for a Madrid-based bank using Python, Scala, Spark, Airflow, and Kubernetes.
Remote Data Engineer for AI-Powered Analytics
Build and scale data pipelines and infrastructure for an AI-powered shopping assistant using SQL, Python, Snowflake, and Airflow.
Senior Data Engineer - Customer Identity & Analytics
Senior Data Engineer builds and optimizes customer-identity data pipelines for ecommerce, using Python and Airflow to improve data reliability and matching accuracy.
Data Engineer: BI, ETL & Analytics
Builds ETL/ELT pipelines with dbt and Airflow, designs BI dashboards in Power BI or Looker, and ensures data quality for internal stakeholders.
Senior Data Engineer - Cloud Data Lake & Streaming
Builds and maintains a cloud data lake and real-time streaming pipelines using Kafka, Spark, Scala, and Airflow to process billions of daily messages for analytics.
Senior Data Engineer: End-to-End Pipelines & Analytics
Build and maintain end-to-end data pipelines, models, and governance to power analytics and BI for product, marketing, and revenue teams using SQL, Python, dbt, Airbyte, and Airflow.
Data Engineer – Vulnerability Data Platform (Hybrid)
Build and maintain a distributed data pipeline for a vulnerability management platform, processing large datasets in near real-time using PySpark, Airflow, dbt, and AWS.