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Design and build scalable data pipelines and analytics for a healthcare platform using Databricks, PySpark, SQL, and Azure to enable real-time and batch processing.
Design and maintain automated data-integration platforms, focusing on self-healing, capacity planning, and incident response in a hybrid MuleSoft/Omni Gateway environment.
Build and maintain data platforms that power AI research and model training workflows, collaborating with engineers and researchers.
Builds and extends scalable data-analytics backends in Go, working with stakeholders and deploying via Docker/Kubernetes in a Linux/Windows environment.
PURVIEW in Barcelona, Spain seeks a Data Quality & Testing Specialist to lead verification of data pipelines, schemas, and backend services across batch and streaming workloads. You will implement Great…
Support Engineer role maintaining and improving a SaaS data governance platform for pharma clients, configuring Collibra or similar tools, handling incidents, and coordinating upgrades.
Staff engineer plans, deploys, and validates large-scale GPU clusters for AI workloads, advising on Supermicro’s liquid- and air-cooled data-center solutions and integrating BMS monitoring.
Lead a team building distributed data platforms and Elastic-based observability/analytics systems, guiding engineering and ops while interfacing with clients.
Lead a data engineering team to build and optimize pipelines using Databricks and Azure Data Lake, ensuring alignment with product goals and cross-team collaboration.
Architect and operate hybrid cloud data infrastructure (AWS + GCP) for a fintech client, building scalable data lakes, pipelines, and ensuring data quality and cost optimization.
Develops and maintains backend systems for energy trading, integrating data logistics with Python, Azure cloud, and databases.
Lead a team building and optimizing data pipelines for AXA’s global insurance operations using Databricks, Azure Data Lake, and PySpark to deliver scalable analytics and reporting.
Designs, builds, and deploys scalable ML and Generative AI solutions on Azure, owning end-to-end MLOps pipelines with Python.
Owns a core data domain’s warehouse, defines modeling standards, and builds a semantic layer for AI agents and stakeholders using SQL, dbt, Airflow, and CI/CD.
Leads AI-driven data analytics projects to optimize supply chains and business processes, combining technical pre-sales with Spanish-language customer engagements.
Builds BI reports, automations, and dashboards for Amazon’s European transport ops using SQL, Python, and tools like Tableau and QuickSight.
Builds and automates data pipelines on GCP and Snowflake using DBT, Prefect, and Airflow to deliver analytics for audit teams.
Build and maintain data models, dashboards, and KPIs using SQL, Python, and Databricks to support data-driven decisions for Ayming’s Spain operations.
Build and maintain connectivity infrastructure software in C++/Go, designing features for next-gen test-and-measurement tools used worldwide by other R&D teams.
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
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