Tech jobs
Job listings
Senior Data Engineer
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
AWS Data Engineer
Design and build scalable AWS data pipelines, integrating multiple sources with Python/PySpark and SQL to deliver clean, high-impact datasets for business teams.
Data Engineer
Build and maintain scalable data pipelines using Databricks, Azure Data Factory, and PySpark to process and transform enterprise data for analytics and reporting.
Azure Data Engineer
Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Senior Data Engineer
Build and scale a modern data platform using Databricks and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.
Senior PySpark Data Engineer — Scalable Pipelines | Remote
Builds and optimizes PySpark pipelines in Python/SQL to power scalable data workflows that enhance the e-commerce personal-shopping experience.
Data Engineer Databricks — Medallion Pipelines
Builds scalable data pipelines and modern analytics platforms using Databricks, Spark/PySpark, and cloud tech to process and analyze large datasets.
Data Engineer
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Databricks Data Engineer | Build Scalable Data Pipelines
Build and optimize scalable data pipelines on Databricks using Spark/PySpark and Medallion architecture for modern cloud-based data platforms.
AWS Data Engineer: Build Data Pipelines & Redshift
Build and maintain data ingestion and transformation pipelines using AWS, S3, Redshift, PySpark, and SQL to process structured sources and files.
AWS Data Engineer (DBT) – Cloud Data Pipelines
Build and maintain cloud data platforms on AWS, using Spark/PySpark, Python, and SQL to transform raw data into insights for clients.
Senior Spark Data Engineer - AWS & Data Pipelines
Design and optimize scalable data pipelines using Apache Spark and AWS for batch and near-real-time processing, creating reliable datasets for analytics and ML.
Azure Data Engineer - Build Data Pipelines & AI Models
Designs and builds cloud data pipelines and AI models using Azure Databricks, Synapse, and Data Factory with Python, PySpark, and SQL.
Data Engineer – Full-Stack Data Pipelines & Governance
Builds and maintains full-stack data pipelines and governance workflows using PySpark and Palantir Foundry for a Madrid-based data platform team.
Azure Data Engineer: Build Scalable Data Pipelines
Designs and builds scalable Azure-based data pipelines using PySpark, Delta Lake, and Databricks to move and transform data efficiently across cloud systems.
Remote Azure ML Ops Engineer (Spain) – Applied ML & DevOps
Senior ML engineer designs and optimizes Azure-based ML models, pipelines, and data workflows using Python, PySpark, Databricks, MLflow, and Azure ML, with CI/CD and model evaluation.
Senior Python ETL Developer
Designs and builds scalable Python-based ETL pipelines using PySpark and AWS Glue to move and transform large datasets.
Senior Python ETL Developer (Remote)
Build and maintain Python-based ETL pipelines using PySpark and AWS Glue to process large datasets, with Docker and CI/CD for reliability.
Senior Data Scientist
Build and deploy production ML models (propensity, churn, forecasting) in Azure Databricks using Python, PySpark and SQL to drive customer analytics and business decisions.
Senior Data Scientist
Lead end-to-end ML/AI model development and MLOps at a construction and infrastructure firm, setting standards for reproducibility, validation, and responsible AI while mentoring junior scientists.