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Data Engineer: Cloud Analytics & Big Data
The Data Engineer will build and maintain scalable data pipelines and architectures using Python, Databricks, Snowflake, SQL, Spark, and Hadoop. This role involves collaborating with global teams on high-impact data and analytics projects.
Data Engineer - Multinational Company
The Data Engineer will build and manage data pipelines using Python, SQL, PySpark, and Apache Airflow within an AWS environment. The role requires professional fluency in both Spanish and English.
Data Engineer
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in an Agile environment. The role requires proficiency in both Spanish and English.
Senior Data Engineer
Senior Data Engineer builds and maintains large-scale AWS data pipelines for an insurance client using Python, Snowflake/Databricks, and ETL/ELT workflows.
Senior Data Engineer: Data Products & AI Pipelines
Builds and maintains scalable data pipelines and AI-enabled features using Python, Databricks/Spark, and Azure to power business software.
Senior Data Engineer Consultant
Senior Data Engineer Consultant designing and delivering advanced analytics and BI solutions for UK clients, primarily using the Microsoft BI stack (SQL Server, SSIS, SSRS, SSAS), Power BI, Azure Data Factory, and Python.
Remote Data & Full-Stack Analyst (Python/Databricks)
Builds data pipelines and full-stack apps using Python and Databricks to deliver business analytics in cloud environments.
Middle Full Stack Developer (Generative AI)
Middle Full Stack Developer (Generative AI) ¿Listo para inscribirse? Antes de hacerlo, asegúrese de leer todos los detalles pertenecientes a este trabajo en la descripción a continuación. Location: Spain (100% Remote)…
Senior Backend Spark Developer (Remote from Spain)
Build and optimize large-scale Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and SQL to process and model data for enterprise clients.
Python Developer
Scalian is seeking a senior Python developer to build backend applications, APIs, and microservices while integrating generative AI and data platform solutions. The role involves working with cloud infrastructure and Kubernetes in a hybrid environment based in Getafe.
Data Engineering Intern
Build and maintain simple data pipelines, validate data quality, and create basic reports using SQL, Python, Azure Data Lake, and Databricks for a fintech platform.
Analyst II, Full Stack (Revenue Analytics)
Builds and maintains scalable data products, dashboards, and semantic layers for Affirm’s revenue analytics, using dbt, SQL, and cloud tools to power decision-making and AI integration.
Senior Cloud Engineer Analytics & AI Platform
Designs and manages Azure cloud services for Bayer’s global analytics & AI platform, collaborating with data/data science teams to implement scalable solutions using IaC, CI/CD, and Azure’s data/AI tools.
Data Engineer (Microsoft Fabric)
Data Engineer will design and implement data pipelines in Microsoft Fabric, integrate diverse data sources, transform batch data, and ensure data quality/validation. Core tech: PySpark, SQL, Delta/Parquet, Azure Synapse, and Git-based workflows.
Solution Architect — Data & AI Platform
Senior contract Solution Architect designing AI-ready data platforms on Databricks Lakehouse, covering LLM/RAG enablement, agentic AI workflows, data governance, and semantic layers.
DevOps Engineer
DevOps Engineer automates cloud deployments, CI/CD pipelines, and identity management (Azure AD, Okta) to ensure resilient infrastructure and secure access for XTEL’s AI-driven consumer goods solutions.
Data Engineer (Microsoft Fabric)
Builds and maintains scalable data pipelines using Microsoft Fabric, Azure Synapse, and PySpark to process large datasets, integrating diverse sources like Excel into a layered architecture for production-grade analytics.
Scrum Master - Pleno
The Scrum Master ensures agile maturity, workflow predictability, and delivery quality for a data team, facilitating ceremonies, removing impediments, and aligning stakeholders across a multicultural, globally distributed team.