Tech jobs
Job listings
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.
Data Platform Engineer — Lakehouse & Governance Lead
Design and run large-scale data pipelines and lakehouse architectures, enabling analytics and AI workflows with Python, SQL, and Spark.
Senior Data Platform Engineer - Hybrid & AI-Ready Pipelines
Design and build scalable data platforms, lakehouse architectures, and ETL/ELT pipelines while collaborating with ML/AI teams to shape data strategy.
Senior Data Platform Engineer - Real-Time Market Data
Build streaming and batch data pipelines, govern schemas, and create self-serve tools for trading, wealth, and product teams using a lakehouse and time-series layer.
Senior Data Engineer — Build a Global Lakehouse Platform
Senior Data Engineer builds scalable data pipelines and a Lakehouse architecture for payments and marketing analytics across AWS and GCP using Dagster/Airflow and IaC.
Senior Data Engineer - Lakehouse & AI Data Platform Lead
Lead the design and delivery of a lakehouse architecture and data platform, building scalable ETL/ELT pipelines and ensuring data quality for analytics and AI workflows.
Senior Databricks Data Engineer — Flexible Hours & Telework
Senior Data Engineer designs and builds ETL/ELT pipelines in Databricks, ensuring data quality in cloud-based data lakes, warehouses, and lakehouses while collaborating with architects and BI teams.
Senior Databricks Data Engineer - Flexible Hours Lakehouse
Senior Data Engineer designs and builds ETL/ELT pipelines in Databricks Lakehouse environments, leads technical teams, and collaborates with architects and data scientists.
Azure Databricks Data Engineer | Lakehouse & Spark Expert
Design and build Azure Databricks-based Lakehouse pipelines and Spark ETL workflows to power analytics and BI, optimizing cloud data architectures for scale and quality.
AWS Data Engineer – Lakehouse, ETL & Governance (Hybrid)
Build and maintain a modern data architecture using AWS, SQL, Python, and Power BI to support AI, marketing, development, and cybersecurity projects.
Senior Data Engineer – Plataforma de Datos (Valencia)
Senior Data Engineer builds and maintains a global data platform using Microsoft Fabric, SQL, Python, and Databricks to design scalable pipelines and lakehouse models.
R&D Data Engineer: Lakehouse & FAIR Data Expert
Designs and automates data pipelines, manages APIs, and ensures FAIR data governance to turn scientific data into strategic assets for global R&D decisions.
Senior Databricks Data Engineer: Shape Modern Data Lakes
Build and maintain modern data lakes and lakehouse platforms using Databricks, Spark/PySpark, Python, and SQL while collaborating with architects and BI teams.
Senior Data Engineer - Databricks & Spark (Remote in Spain)
Design and maintain scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog, collaborating with data scientists and architects to deliver production-grade solutions.
Senior Big Data Engineer — Remote, Lakehouse & AI-Ready
Design and build end-to-end big-data pipelines using Spark, Python, Scala, Airflow and Databricks, and define Lakehouse and Data Mesh architectures in cloud environments.
Data Engineer: AWS & Databricks, Lakehouse (Remote)
Build and maintain scalable data pipelines using Databricks, AWS, and Lakehouse architecture to support automotive data solutions.
Data Engineer: Spark, Databricks & Cloud Lakehouse
Builds scalable data pipelines using Databricks, Spark, Airflow and Iceberg to power modern lakehouse platforms for Atos’ digital-transformation projects.
Data Engineer - AWS | Hybrid, Flexible Hours
Build and maintain scalable cloud data pipelines on AWS, design modern architectures like Data Lakehouse and Data Mesh, and lead data-focused CI/CD initiatives.
R&D Data Engineer: Lakehouse & FAIR Data (Huelva)
Builds ETL pipelines and manages a lakehouse to turn scientific data into FAIR-compliant assets, supporting global R&D decisions at a climate-focused agri-tech company.