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Data Engineering Team Lead | Hybrid, Career Growth
Lead a team of data engineers to design and maintain cloud-based data pipelines for life-sciences and healthcare use cases using Azure, AWS, GCP, Databricks, PySpark, and SQL.
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, and SQL.
Real-Time Healthcare Analytics Data Platform Engineer
Builds a healthcare analytics platform that processes real-time and batch data into dashboards and insights using Databricks, PySpark, SQL, and Azure.
Remote-friendly Data Platform Engineer - Lakehouse & PySpark
Build and maintain a Lakehouse platform using PySpark and Databricks, designing Delta Lake schemas and batch/near-real-time pipelines for reliable, scalable data solutions.
Remote Data Platform Engineer: PySpark & Delta Lake
Build and maintain a PySpark and Delta Lake-based data lakehouse on Databricks, creating batch and near-real-time pipelines to power analytics and data sharing for internal products.
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 for ETL/ELT workflows.
Data Platform Engineer: Lakehouse & Real-time Pipelines
Builds and maintains data ingestion pipelines, lakehouse environments, and real-time streaming systems using SQL, PySpark, Kafka/Kinesis, and Go.
Remote Data Platform Engineer — PySpark & Databricks
Builds and maintains PySpark pipelines on Databricks to power reliable data products and enrichment workflows for a SaaS analytics platform.
Azure Data Engineer: Cloud Platforms & Real-Time Ingestion
Build and maintain Azure-based data pipelines, focusing on real-time ingestion, batch processing, and orchestration using Spark, PySpark, and Azure services.
Senior Data Engineer - Scala/Spark on AWS (Hybrid)
Senior Data Engineer builds and optimizes Spark-based data pipelines on AWS for analytics, ML, and reporting in a Madrid-based role with hybrid flexibility.
Senior Data Engineer: Real‑Time Spark & Delta Lake
Build and run high-volume data pipelines on AWS using Spark and Delta Lake, with Kafka and Glue for ingestion and transformation in a regulated fintech environment.
Senior Data Engineer w Databricks - 100% Remoto - Sólo España
Build scalable data pipelines on Databricks and Spark for a global automotive project, using PySpark, SQL, and cloud (Azure).
Senior Data Engineer (Databricks) - EY GDS Spain - Hybrid
Build and maintain data platforms on Databricks and cloud engines to enable clients to make efficient decisions using Python, PySpark, and SQL.
Senior Data Engineer – Real-Time MedTech on Azure/Databricks
Design and build a real-time data platform for healthcare analytics using Azure, Databricks, and PySpark, focusing on scalable, event-driven architectures.
Remote Data Platform Engineer — Cloud Infra & Data
Build and maintain GCP cloud infrastructure for Booksy’s data ecosystem using Terraform, PySpark, and CI/CD pipelines to enable reliable, self-service analytics.
Senior Data Engineer for Palantir Foundry Projects
Senior Data Engineer to design, build, and maintain data pipelines and models in Palantir Foundry for a long-term Madrid-based project.
Senior Data Engineer (PySpark/Python) - Remote & Flexible
Senior Data Engineer builds and optimizes large-scale data pipelines using PySpark and Python to support critical business decisions.
Lead Data Engineer – Azure, Databricks & CI/CD
Lead a team to build and maintain scalable data pipelines using Azure, Databricks, PySpark, dbt, and CI/CD for production-grade data products.
Senior Databricks Data Engineer — Hybrid & Global Platform
Build and maintain data platforms using Databricks, PySpark, and SQL, collaborating with global teams to deliver scalable cloud-based solutions.
Senior PySpark Data Engineer (AWS) - Remote, Long-Term
Senior Data Engineer designs and builds scalable PySpark and AWS data pipelines for Big Data processing in a fully remote, long-term project.