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Senior Data Engineer building and maintaining ETL/ELT pipelines, ingesting structured and unstructured data, and developing RAG systems using Python, SQL, Kubernetes, and cloud platforms (Azure/AWS) for an AI Fintech in Madrid.
Lead Data Engineer designing and overseeing end-to-end data pipelines (ingestion, transformation, loading) on the SimpliFi Data Pool—an Azure-hosted repository using Data Vault 2.0, Databricks, Azure Synapse, Informatica IDMC, and PowerBI—while mentoring engineers and enforcing data governance.
Data Engineer designing and maintaining scalable data pipelines on Snowflake and Azure, using dbt, Airflow, Python, Docker, and Kubernetes for a large multinational IT services company.
Data Engineer focused on Palantir Foundry/AIP, building robust data pipelines with Python and PySpark, designing ontologies, and orchestrating solutions on AWS/Azure.
Builds and maintains cloud-based data platforms on Azure, focusing on data ingestion, processing pipelines, and real-time analytics to support client transformation projects.
Designs, builds, and optimizes scalable data pipelines and analytics platforms on Snowflake/Azure, using dbt, Airflow, Python, and Kubernetes for cloud-native data solutions.
Builds and maintains scalable data pipelines, migrates Hadoop to cloud infrastructure, and ensures data quality/availability using Scala, Spark, and cloud tools like Kubernetes and Airflow.
Design and build data pipelines using PySpark, Python, SQL, and AWS, with Airflow for orchestration and Docker/ECS as needed, as part of a 12-month contract in Madrid.
Builds and maintains scalable data pipelines to extract, transform, and integrate data from multiple sources into a cloud data warehouse, ensuring reliability and performance for analytics and decision-making.
Senior Data Engineer at PepsiCo building global data products and pipelines using cloud platforms (AWS, Azure, Snowflake), big data tools (Hadoop, PySpark), and orchestration (Airflow, DBT) to power digital commerce capabilities for the food & beverage giant.
AI Data Engineer at a Spanish tech consultancy, designing and deploying AI solution architectures, building ETL pipelines in Python, designing APIs, and deploying to the cloud using LangChain, FastAPI, vector databases, and Docker.
Senior Data Engineer working on a high-impact tech project in Madrid, designing and maintaining scalable data pipelines using Databricks, Spark, Airflow, Iceberg, and Cloud technologies.
Data Engineer focused on Data Products, operationalizing AI/ML models into reliable, scalable data products (batch and real-time pipelines) using Python, SQL, Spark, Databricks, Airflow, and GCP/Azure within a leading European retail company's Digital Hub in Barcelona.
Data Engineer building data pipelines and systems on a Life Science project using Azure Cloud, Databricks, Spark, Scala, Airflow, Python, and SQL.
Senior Python developer designing and building backend applications with Django/FastAPI, integrating LLMs and GenAI solutions, and automating processes on Cloud/Kubernetes in a hybrid role in Getafe, Spain.
The Senior Java Developer will design and develop mission-critical microservices for pharmacy benefit management and point-of-sale platforms. The role involves working in an Agile environment using Java, Spring Boot, and various integration frameworks to build scalable healthcare solutions.
The Software Engineer will design and optimize data ingress/egress pathways and analytics workloads using Python, Java, Apache Spark, and Apache Airflow. This role requires an active TS/SCI with Polygraph clearance.
Java Full Stack Engineer at PwC's Data & Analytics Advisory practice in Bengaluru, building and modernizing enterprise microservices with Spring Boot backends, React/Angular frontends, Kafka event-driven systems, and Azure deployment.
Principal Platform Engineer at ISS STOXX designing and operating multi-cloud platforms across GCP and AWS, building landing zone capabilities, CI/CD tooling, and platform services to enable AI transformation at enterprise scale.
Senior Data Engineer at HPE's Aruba/Networking BU designing and building scalable data pipelines, integrating enterprise data sources (Databricks, IT platforms), and enabling analytics using SQL, Python, orchestration tools, and cloud technologies.
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