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Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.
Designs and builds scalable, secure GCP data pipelines and ETL/ELT workflows using BigQuery, Dataflow, and Spark to support analytics and AI-driven solutions.
Design and build scalable GCP-based data pipelines and platforms, handling batch/streaming ingestion, transformation, and orchestration with BigQuery, Dataflow, and Airflow.
Build and maintain a cloud-based data platform for a Milan-based ICT consultancy, ingesting new data sources and running tests using Python, Spark, and GCP tools like BigQuery and Dataflow.
Senior Data Quality Engineer Location: Sant Just Desvern, B, ES, 08960 City: Sant Just Desvern State: Barcelona (ES-B) Country: Spain (ES) Requisition Number: 46239 Job Overview We are seeking a highly skilled and…
Design and build scalable data pipelines and cloud architectures using Python, PySpark/Scala, and cloud platforms (AWS, Azure, GCP) to enable analytics and ML workloads for enterprise clients.
Build and optimize cloud data pipelines using GCP services like Dataflow, BigQuery, and Dataproc to help clients process and analyze large datasets efficiently.
Lead the design and build of large-scale data pipelines and platforms using PySpark, GCP, and Airflow to power analytics, AI features, and real-time measurement for a major retail and media company.
Lead a team building scalable GCP data pipelines and cloud data warehouses for enterprise clients, using BigQuery, Dataflow, and DevOps practices to enable data-driven decisions.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Design and build scalable cloud data pipelines on Google Cloud Platform (BigQuery, Dataflow, etc.) to enable AI-driven analytics and business intelligence for enterprise clients.
Senior Data Engineer modernizes a large bank’s Big Data platforms, migrating batch jobs to Cloudera CDP and Google Cloud using Spark, SQL, and Kubernetes while ensuring performance and reliability.
Build and maintain scalable data pipelines and cloud infrastructure for a media company’s data platform using Python, Spark, SQL, GCP, Airflow, and Terraform.
Senior Data Engineer builds and maintains ETL pipelines, data warehouses, and cloud-based data platforms using Microsoft SQL Server, Talend, and BigQuery to support analytics and business needs.
Senior DevOps Engineer designs and manages GCP-based cloud infrastructure and CI/CD pipelines for client data analytics projects, automating deployments and ensuring scalable, secure systems.
Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.
Lead a team to design and build scalable, secure cloud data platforms on Azure and/or GCP, using Spark, Databricks, and managed services while coaching engineers and driving DataOps/FinOps practices.
Lead a team building scalable data pipelines and platforms on GCP to power Gymshark’s data-driven decisions, using BigQuery, Dataflow, and Python.
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