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Build and maintain integrations between SAP Business One ERP and SovrAI using SQL Server/HANA, design ETL/ELT pipelines, map and validate data, and support customer deployments.
AI Software Engineer designing and deploying end-to-end enterprise AI applications using LLMs, RAG, React/TypeScript frontends, Python backends, and Azure cloud infrastructure with full product lifecycle ownership.
Senior Data Engineer building data products with automated pipelines for batch and streaming scenarios using Databricks, Azure, and languages like PySpark/Python.
The Senior Data Analyst/Engineer will design and maintain data pipelines and analytical dashboards for a client in the automotive sector. The role involves using SQL, Python, Power BI, and Databricks to ensure data quality and support business decision-making.
Data Engineer on a strategic data platform project, designing and industrializing ETL/ELT pipelines in a secure cloud environment using AWS and Snowflake, collaborating with Data, DevOps, Architecture, and Security teams.
Kiiro is seeking an experienced Data Engineer to build robust data foundations, pipelines, and cloud-based architectures for clients using technologies like Python, SQL, AWS, and Databricks. The role involves consulting, designing data solutions, and industrializing data science and GenAI products.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves collaborating with cross-functional teams to implement ETL/ELT processes, CDC flows, and CI/CD automation.
The Data Engineer will design, build, and maintain scalable data pipelines and analytics models using SAP technologies and Databricks. The role involves collaborating with cross-functional teams to optimize ETL/ELT processes and ensure data governance within the pharmaceutical and supply chain sectors.
As a Senior Data Engineer Consultant, you will design and industrialize data platforms, build ETL/ELT pipelines, and manage large-scale data architectures using cloud technologies like AWS, GCP, or Azure. You will collaborate with data scientists and engineers to ensure data scalability and security while mentoring team members.
The Data Engineer will be the first data-focused hire for a large industrial group in the beauty and luxury sector, responsible for building and maintaining ETL pipelines, data warehouses, and data applications. The role involves working with Python, SQL, and Azure cloud technologies to support the company's digital transformation.
Senior Data Engineer building and supporting scalable, enterprise-grade data platforms using Azure and Microsoft Fabric, designing data pipelines, Lakehouse and Data Warehouse solutions, and optimizing performance.
This Data Engineer role involves building and optimizing data models, SQL queries, and ETL pipelines to support enterprise reporting for a US-based sourcing company. The position requires expertise in SQL, data warehousing, and NetSuite Analytics Warehouse, with a focus on Power BI integration.
Krell Consulting is seeking a Data Engineer to design and implement cloud-based data solutions using Snowflake and DBT. The role focuses on building analytical models, optimizing data platform performance, and collaborating within Agile teams.
The Data Engineer will build and manage data pipelines using Python, SQL, and Apache Airflow within an AWS environment. The role requires professional fluency in Spanish and English and experience with AWS data services and containerization.
BI Developer/Data Engineer building scalable data platforms, ETL pipelines, and analytical data models using SQL, PostgreSQL, Python, and Airflow for a custom software company.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
This Data Engineer role involves developing ETL/ELT pipelines and data models within a financial services environment using Snowflake, Azure, and Python. The position requires expertise in dimensional modeling, dbt, and modern CI/CD practices.
Data Engineer building and maintaining ETL pipelines, data marts, and semantic layers for a Customer Data Platform using SQL, cloud platforms (Azure/AWS/GCP), Airflow, dbt, and BI tools like Power BI and Tableau.
Architects and leads large cloud data platform programs using Snowflake, Confluent Kafka, event-driven architecture, and CI/CD with GitHub Actions.
Build and operate enterprise-scale ETL/ELT data pipelines and knowledge graph infrastructure using Python, SQL, Google Spanner, BigQuery, Neo4j, and vector databases to support enterprise search and AI systems.
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