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The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in a 12-month contract role based in Madrid. The position requires proficiency in both Spanish and English.
The Data Engineer will develop and maintain CoreGo's Databricks-based data platform, building pipelines and data models to support analytics and machine learning for event payment and access systems. The role involves managing data infrastructure, ensuring data quality, and collaborating with product teams to integrate data outputs into business processes.
The Senior Full Stack Developer will lead the design and development of scalable web applications using a broad stack including React, Next.js, Spring Boot, and Node.js. The role involves architecting solutions, managing database performance, and mentoring team members within a large-scale consulting environment.
The Full-Stack Data & AI Engineer develops and maintains end-to-end data, analytics, and AI solutions using technologies like PySpark and BigQuery. The role involves working in agile teams to translate business requirements into data-driven applications while managing the full lifecycle of systems.
Dein Fundament: Ein erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, Physik, Mathematik oder eine vergleichbare Qualifikation mit relevanter Berufserfahrung. Tech-Stack & Erfahrung: Einschlägige…
The Data Mapping & ML Engineer will design and implement data mapping, ML-driven matching, and semantic models to enhance data transformations. The role involves building scalable pipelines using Databricks, PySpark, SQL, and Python while ensuring data governance and architectural alignment.
The Data Engineer will develop scalable cloud data platforms, build data pipelines, migrate data to the cloud, and manage Data Lake/Lakehouse environments. The role requires expertise in Python, SQL, Spark, and cloud-based data technologies.
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
Hirexa Solutions is looking for a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines using PySpark, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure high-quality data processing in a cloud environment.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. The role focuses on processing large-scale data within enterprise environments and collaborating with cross-functional teams to ensure data quality and performance.
The Cloud Data Engineer will design, build, and optimize scalable data processing platforms and data lakes using Azure cloud technologies. The role involves collaborating with analytics teams to manage large-volume data projects.
Senior Data Engineer at Publicis Groupe designing and building enterprise-scale cloud data platforms—lakehouse architectures, ingestion pipelines, governance, and AI/LLM-enabled data services—using Python, SQL, Spark, and AWS or Azure.
The Senior Data Engineer will design and build enterprise-scale, cloud-native data platforms while integrating AI and LLM-based solutions. The role involves a mix of hands-on engineering, technical architecture design, and leadership across data ingestion, lakehouse architectures, and governance.
Lead Analytics Engineer at a NZ consultancy delivering Microsoft Fabric-based analytics solutions—semantic models, Power BI reports, and data pipelines—for enterprise clients through discovery workshops, data modelling, and team mentorship.
Senior Data Engineer at EY designing, building, and operating enterprise-scale AWS Lakehouse platforms using Spark, dbt, Iceberg, and QuickSight to deliver analytics, reporting, and AI-ready data solutions for clients.
Design, build, and maintain scalable data pipelines and cloud-based data platforms on AWS using Python, collaborating with analysts and scientists to support analytics and BI initiatives.
Schwarz Digits is seeking a Full-Stack Data & AI Engineer to design, implement, and operate data-driven solutions using technologies like PySpark and BigQuery. You will work in an agile, cross-functional team to build and maintain end-to-end data products while ensuring high quality through automated testing.
Lead greenfield development of a cloud data warehouse and portfolio monitoring platform on Azure/Databricks, converting Excel workflows into auditable data pipelines for finance operations.
The Analytics Engineer will design and maintain data assets to support reporting, advanced analytics, and AI initiatives. The role involves building scalable data solutions using SQL, Python, PySpark, and Power BI within a hybrid work environment.
The Junior Big Data & AI Engineer will work within the SerdatIA team to design data pipelines and ETL/ELT processes using PySpark and Azure Databricks. This is a 100% remote role focused on applied AI and data engineering projects.
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