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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.
AWS Data Engineer | Lakehouse & ETL Specialist
Designs and implements AWS-based data pipelines and ETL/ELT workflows, building scalable Lakehouse architectures with Spark and infrastructure-as-code.
Senior Databricks Data Engineer - Flexible Hours & Remote
Designs, builds, and optimizes ETL/ELT pipelines in Databricks for a large telecom’s data lake, collaborating with architects, analysts, BI, and data-science teams.
Big Data Engineer: AWS, Spark & Kafka
Maintain and optimize a corporate data lake using AWS, Spark, Kafka, and Python, ensuring scalable data processing and performance.
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 Azure Data Engineer — Cloud Data Architect
Designs and builds scalable Azure data pipelines using ADF and Databricks to ingest, process, and orchestrate data while enforcing governance and data quality.
Senior Data Engineer (Databricks) — Data Platform Leader
Lead the design and development of ETL/ELT pipelines for a large-scale data platform using Databricks, ensuring data quality and collaborating with architects and analytics teams.
Senior Databricks Data Engineer — Data Platform & Lakehouse
Build and optimize ETL/ELT pipelines, set up Data Lake/Warehouse/Lakehouse environments, and ensure data quality in a Databricks-based platform.
Data Engineer (Azure & Modern Data Platform)
Design and build scalable cloud data pipelines using Azure Data Factory and Databricks, then model and optimize datasets for Power BI analytics and reporting.
Azure Data Engineer
Build and optimize Azure-based data pipelines using Python, PySpark, and Azure Data Factory to migrate streaming workloads to batch processing.
Data Engineer AWS
Builds and maintains AWS-based data pipelines using Glue, Spark, Lambda, and S3 to move and transform data for analytics and reporting.
Azure Data Engineer
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Cloud Data Engineer
Build and maintain cloud-based data pipelines and modern data platforms for a global financial firm, using Python, Spark, and Azure.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Junior Data Engineer & BI | Build Scalable Data Pipelines
Builds reliable data pipelines and BI dashboards to make information accessible for technical and business teams using SQL and tools like Power BI or Tableau.
Lead Data Engineer - Azure Data Platform & Pipelines
Lead a team to build and maintain Azure-based data pipelines and storage, using Databricks, Synapse/Fabric, and CI/CD to ensure high-quality, performant data flows.
Senior Backend Developer - GBO Tier1 (Remoto España)
Senior backend developer building and maintaining Tier1 GBO systems for treasury and derivatives, with accounting processes and reporting in an international environment.
PL/SQL Backend Developer — Hybrid, Flexible Hours & Growth
Backend developer using PL/SQL to build and maintain treasury and derivatives processes in a financial-sector product team.
Backend Senior Developer - GBO Tier1 (Finanzas y Data Lake)
Senior backend developer building core financial systems for treasury, derivatives, and accounting in a regulated fintech environment, migrating to a Data Lake and supporting production systems.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.