Tech jobs
Job listings
Data Engineer (Azure & Modern Data Platform)
Build and optimize cloud data pipelines for analytics using Azure Data Factory, Databricks, and Power BI to enable strategic decision-making for enterprise clients.
Azure Data Engineer (International Team)
Build and maintain cloud data pipelines on Azure, using Data Factory, Databricks, and DevOps to ingest, process, and orchestrate large-scale data workflows.
Azure Data Engineer — Cloud Pipelines & Lakehouse (Hybrid)
Designs and optimizes Azure-based data pipelines and lakehouse architectures using Data Factory, Synapse, and Delta Lake in a hybrid work setup.
Principal Data Engineer / Data Lead
Lead the architecture and delivery of large-scale healthcare data pipelines and platforms for Roche’s digital cervical screening solution, using Python, SQL, Spark, and cloud data tools.
Azure Data Engineer — Streaming to Batch Pipelines
Design and implement Azure-based streaming-to-batch data pipelines using Data Factory, Data Lake Storage, and PySpark/Scala in Python.
Senior Data Engineer
Senior Data Engineer builds and scales a modern data platform using Databricks, PySpark, and Azure Data Factory to power advanced analytics, ML models, and near-real-time decision systems.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Data Engineer (Azure)
Build and maintain cloud-based data platforms on Azure, designing batch/streaming pipelines with PySpark, Python, and Azure Data Factory while collaborating in an agile team.
Data Engineer - Data Platforms & Architecture
Design and build scalable data pipelines and modern data architectures (Snowflake, BigQuery, Redshift) using ETL/ELT tools (dbt, Talend, Informatica) and modeling approaches (Kimball, Data Vault, Lakehouse).
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, and SQL.
Data Engineer
Design and maintain scalable data pipelines and ETL/ELT workflows using Databricks, Azure Data Factory, and PySpark for cloud-based data platforms.
Data Engineer
Build and maintain enterprise-grade data pipelines and analytics platforms using Microsoft Fabric, Databricks, and Power BI to enable cost-management reporting and data-driven decisions.
Azure Data Engineer: Pipelines, Lakehouse & Power BI
Builds Azure-based data pipelines, lakehouse architectures, and Power BI reports using Data Factory, Databricks, and SQL.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.
Azure Data Engineer
Build and optimize Azure-based ETL pipelines using Python, PySpark, and Azure Data Factory to migrate streaming data to batch storage in ADLS.
Data Engineer Intern
Build and maintain cloud-based data pipelines using Azure services (Fabric, Synapse, Data Lake) and Python/SQL to turn raw data into insights for clients.
Data Engineer (Databricks)
Senior Data Engineer to build and maintain a Databricks-based data platform for dynamic pricing and BI in high-volume retail, using Medallion architecture, PySpark, and Azure Data Factory.
Data Engineer Azure
Build and optimize Azure-based data pipelines and cloud architectures, using Azure Data Factory, Synapse, PySpark, and Medallion/Lakehouse patterns to move and transform data securely and at scale.
Data Engineer Consultant
Designs and maintains end-to-end data pipelines in Azure to ingest, transform, and serve data for analytics and reporting, using Python, SQL, and Azure services like Synapse and Databricks.
Data Engineer Azure
Design, build, and optimize Azure-based data pipelines and cloud architectures, using PySpark, Azure Data Factory, Synapse, and Lakehouse patterns to move and transform data securely and at scale.