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Data Engineering Manager Barcelona, Spain
Lead a team to design and build scalable cloud data platforms and AI infrastructure using Python, PySpark, SQL, and Azure services.
Director, Data Engineering (Capital Markets)
Lead a team to build and govern scalable data platforms for JLL’s Capital Markets unit, integrating real-estate data for analytics, AI/ML readiness, and automated insights.
Data Engineering Team Lead | Life Sciences Platform
Lead a data engineering team building cloud-based data architectures for life-sciences and healthcare analytics using Databricks, PySpark, Python, SQL, and DataOps practices across Azure, AWS, and GCP.
Data Engineering Team Lead | Hybrid, Career Growth
Lead a team of data engineers to design and maintain cloud-based data architectures for life sciences and healthcare, using Databricks, PySpark, and SQL.
AI Engineer / Data Scientist – GenAI & LLMs
Build and deploy GenAI assistants for corporate banking using LLMs, RAG pipelines, and prompt engineering to enable natural-language queries over client data and support decision-making.
Senior Data & Analytics Engineer - Synapse, Fabric & PowerBI
Designs reporting solutions with Microsoft Dynamics, builds Power BI dashboards, and creates scalable data products using SQL and PySpark.
Data Scientist / ML Engineer
Build and deploy ML models to optimize ad targeting and bid strategies for a mobile-app monetization platform using Python, PyTorch, and AWS.
Data & ML Platform Engineer – Azure
Build and maintain Azure-based data and ML pipelines for Burger King, Popeyes, and Tim Hortons, focusing on Databricks, Azure ML, AKS, and MLOps workflows.
Senior Data & Analytics Engineer - Ecosistema Microsoft (Fabric / Azure)
Design and build end-to-end data pipelines and star-schema models in Microsoft Fabric/Azure, then expose clean datasets for Power BI and integrate Azure OpenAI where it adds value.
Machine Learning Engineer/ Data Science
Build and deploy machine-learning models using Python, Scikit-learn, PySpark, and Databricks for clients in IT consulting and pharma.
Senior Data & Analytics Engineer — Real‑Time Healthcare Platform
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.
Data Engineering Lead W/M
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.
Data Engineering Manager
Lead a team to design and build scalable cloud data platforms, ETL/ELT pipelines, and AI infrastructure using Python, PySpark, SQL, and Azure services.
Remote-friendly Data Platform Engineer - Lakehouse & PySpark
Build and maintain a Lakehouse data platform using PySpark and Databricks, designing Delta Lake schemas and batch/near-real-time pipelines for analytics and data sharing.
Real-Time Healthcare Analytics Data Platform Engineer
Design and build a healthcare analytics data platform using Databricks, PySpark, SQL and Azure to turn raw data into dashboards and insights.
Senior Data & Analytics Engineer – Microsoft Fabric & Azure
Designs and builds cloud data pipelines and architectures using Microsoft Fabric and Azure, leveraging SQL, Python/PySpark, and Git.
Data Engineering Team Lead
Lead a team of data engineers building scalable pipelines and data architecture for life-sciences and healthcare datasets using Databricks, PySpark, and cloud platforms.
#CORE DIGITAL CAMPUS - Senior Data Engineer - SAP BI & Palantir Foundry F/M
Senior Data Engineer builds and maintains SAP BW and Palantir Foundry pipelines to integrate industrial data for Airbus Helicopters, using ABAP, PySpark, and SQL in an Agile environment.
Remote Data Platform Engineer — PySpark & Databricks
Builds batch and near-real-time data pipelines in PySpark on Databricks, designs Delta Lake schemas, and collaborates with product/QA to deliver reliable data products.
Data Platform Engineer, SingleStore Engineer
Build and maintain data pipelines, manage SingleStore databases, and support developers in a lakehouse environment.