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Google Data Engineer
Designs and builds scalable data pipelines and cloud architectures on Google Cloud Platform, ensuring high-quality data for analytics and AI workloads.
Data Engineer Consultant
Designs and maintains end-to-end data pipelines in Azure to ingest, transform, and serve data for analytics and reporting, using Python, SQL, and Azure services like Synapse and Databricks.
Data Engineer Azure
Design, build, and optimize Azure-based data pipelines and cloud architectures, using PySpark, Azure Data Factory, Synapse, and Lakehouse patterns to move and transform data securely and at scale.
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 AWS
Build and maintain AWS-based data pipelines and ETL workflows using Python, Spark, and Glue to feed analytics and reporting systems.
Data Engineer
Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Data Engineer
Build end-to-end data pipelines and analytics solutions for Oysho’s eCommerce platform using Databricks, PySpark, SQL, and Power BI to drive business decisions.
Data Engineer
Builds and scales industrial data pipelines in Azure/Databricks, integrating sensor data with ML models to improve energy efficiency and logistics in a European industrial company.
Data Engineer
Design and build cloud-native data pipelines on GCP to power analytics and AI, ensuring scalable, governed, and secure data platforms for enterprise use.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Data Engineer
Designs and builds scalable data pipelines on GCP for a capital-markets fintech, integrating financial data sources and optimizing warehouse/lake solutions.
Data Engineer
Designs and builds end-to-end cloud data platforms using Microsoft Fabric and Azure, setting standards and guiding teams to create scalable, reusable data architectures and pipelines.
DevOps Engineer Plataforma de Datos (Madrid) - HIBRIDO (Madrid)
DevOps Engineer maintaining and optimizing a cloud-based data platform for a fintech client, using Kubernetes, Dremio, CI/CD, and observability tools.
Data Lakehouse Platform DevOps Engineer
Build and maintain the automation, monitoring, and cloud infrastructure for a next-gen data lakehouse platform serving a financial-sector product.
Data Engineer Semi-Senior – Cloud ETL for Banking
Build and maintain AWS-based ETL pipelines for a banking client, migrating legacy systems to a Lakehouse architecture using PySpark and Python.
Lead Data Engineering
Lead a team of trainees to build scalable GCP-based data pipelines using BigQuery, Airflow, and Dataflow, while mentoring junior engineers and enforcing data governance standards.
Senior Data Engineer til samfunnsviktige og kommersielle oppdrag
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Senior Data Engineer: Azure Databricks Lakehouse & AI
Build and maintain a modern Azure Databricks lakehouse platform, designing robust data pipelines and models to power analytics and AI-driven insights for a large retail chain.
Senior Data Engineer - AI TechEx Data
Build and maintain scalable data pipelines and products for Tryg’s AI-driven insurance pricing, portfolio management, and underwriting using Databricks, SQL, and Python.