Tech jobs
Job listings
Databricks Data Engineer - Cloud Pipelines
Design and build scalable data pipelines on Databricks for ETL/ELT workloads, optimize performance, and monitor data flows.
Data Engineer
Build and optimize large-scale data pipelines on Databricks, from ingestion to delivery, using Spark, cloud, and DevOps practices to support analytics and AI teams.
Data Engineer
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Data Engineer: Craft Scalable Data Infrastructure & Pipelines
Designs and maintains scalable ETL/ELT pipelines and cloud data infrastructure to support analytics and ML workflows in a French HR-tech environment.
Data Engineer GCP & DBT: Build Scalable Data Pipelines
Build and maintain scalable ETL/ELT pipelines on GCP and BigQuery using dbt; collaborate with analytics and marketing teams to industrialize data processes.
Data Engineer — Pipelines Robustes et Observabilité
Build and maintain robust, observable data pipelines (ELT/ETL, batch and streaming) and ensure data quality and traceability for a data platform.
Data Engineer — Data Lake & Cloud Pipelines
Designs and maintains data architectures, ETL/ELT pipelines, and integrates relational databases with a cloud-based data lake using SQL, Python/C#, and SQL Server/PostgreSQL/MySQL.
Senior Python Developer / Data Engineer
Build and maintain scalable data pipelines in Python and Airflow on Google Cloud Platform, focusing on ETL/ELT, data modeling, and reliability for a modern data stack.
Jr+. Python Backend Developer
Build and maintain scalable backend services and data pipelines in Python/TypeScript to unify engineering data for a developer-operations platform.
Data Engineer (w/m/d)
Build and optimize data pipelines, serverless AWS infrastructure, and backend components using Python, SQL, and Docker for a rail-vehicle manufacturer’s data platform.
Data Engineer (f/m/x)
Builds and maintains scalable ELT/ETL pipelines in a Hadoop-based Big Data stack to feed data-driven decision-making for a sports-betting company.
Data Platform Engineer (m/w/d)
Build and maintain modern data pipelines in Azure and Microsoft Fabric to power analytics, reporting, and ML models for an e-commerce agency.
Data Engineer (m/w/d)
Build and maintain scalable ETL/ELT pipelines and cloud data platforms to integrate and transform retail data for BI and analytics in a fast-growing furniture ecommerce group.
Junior Data Engineer (m/w/d)
Build and maintain data pipelines, ETL/ELT processes, and data models for a manufacturing company, integrating production and enterprise data sources to support analytics and automation.
Data science engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala to transform healthcare reference data into reliable datasets for SaaS products and partners, while collaborating with AI engineers and product teams.
Data analytics engineer, data science engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala that transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS.
Data Science / Data Engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS.
Senior Data Engineer (m/w/d)
Build and maintain ETL/ELT pipelines and a modern data platform using Airflow, dbt, and Synapse to move data from SAP/Salesforce into BI and applications.
Senior Data Engineer (m/w/d)
Build and maintain modern data pipelines in Azure and Microsoft Fabric to feed analytics, reporting, and ML models for an Amazon-focused ecommerce agency.
Senior Backend Engineer — Remote FinTech Data Platform
Senior Backend Engineer building scalable Python services, ETL/ELT pipelines, and API integrations for a global FinTech platform using FastAPI and containerized Linux/Docker environments.