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Data Engineer (GCP)
Build and optimize data pipelines on Google Cloud Platform (BigQuery, Dataflow, Spark) using Python and SQL to support financial-sector clients.
Senior Data Engineer
Build and own scalable data platforms and ETL pipelines for a leading EU quantum/AI company, using Python, Spark, Airflow, and lakehouse tech like Iceberg/Delta Lake.
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
Designs and maintains cloud data pipelines and analytics platforms for food/beverage plants using Azure, Databricks, and time-series databases to enable AI-driven insights and operational reporting.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants using Azure, Databricks, and time-series databases to enable AI-driven predictive maintenance and operational reporting.
Data Engineer
Build and maintain a cloud-based data lakehouse, design scalable data models, and develop ETL/ELT pipelines in AWS for analytics use cases across marketing, HR, and operations.
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.
Spark Data Engineer
Build end-to-end data pipelines and modern data architectures (Data Lakehouse, Data Mesh) using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to turn raw data into scalable analytics and insights.
Snowflake Data Engineer
Designs and builds scalable Snowflake-based data pipelines and ETL/ELT processes in Azure, using Snowpark and SQL to deliver cloud-native analytics solutions.
Data Engineer TEMPORARY
Designs and maintains ETL pipelines in Python to ingest and clean biosimilar R&D data from Excel, PDF, and databases, ensuring traceability and reliability for scientists.
DATA ENGINEER (BECA)
Build and maintain data pipelines in Python and SQL to feed business analytics, create Power BI dashboards, and explore AI use cases for a brewery group.
Credit Data Engineer
Design and maintain Snowflake-based data pipelines and warehouses that feed credit risk models, analytics, and reporting for a global distributor’s credit function.
MDS Data Engineer
Build and optimize modern data pipelines using SQL, scripting, and cloud warehouses (BigQuery/Snowflake) to migrate legacy ETL/ELT systems and ensure scalable, high-quality data architecture.
Data Engineer ID52278
Design and scale high-performance ELT pipelines for a centralized data warehouse, collaborating with cross-functional teams to build a robust, scalable data platform.
Cloud Data Engineer
Designs and maintains cloud-based data pipelines and warehouses using Python, PySpark, SQL, and Databricks to power analytics and ML on Microsoft Azure.
Graph Data Engineer
Design and build graph data models and ETL pipelines for a Metalake platform, using Neo4j, Cypher, and Graph ML to power organizational intelligence.
Data Engineer MLE
Build and maintain scalable data pipelines and production-grade ML systems for clinical trials, pharmacovigilance, and drug manufacturing at a global pharma company.
Data Engineer III
Builds and maintains data pipelines, warehouses, and AI integrations for a SaaS travel-expense platform using Snowflake, Databricks, AWS, and Looker.
Google Data Engineer
Designs and builds scalable data pipelines and cloud architectures on Google Cloud Platform, ensuring high-quality data for analytics and AI workloads.