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AI Data Engineer
Role Overview We are hiring a hands-on engineer with strong capabilities in data pipelines and applied AI (GenAI) to build and support our AI-driven platform and Datalake platform. Key Responsibilities Own the…
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
First VP, Senior Data Engineer, Group Technology & Ops
Lead the design and build of enterprise-scale data platforms and AI-ready data assets for a major bank, using Spark, Kafka, Iceberg, and cloud-native tools.
DATA ENGINEER
Designs and maintains scalable cloud data pipelines and warehouses using SQL, Python, and cloud platforms to enable reliable analytics and business insights.
Data Engineer
Designs and maintains scalable data pipelines and cloud infrastructure to power analytics and AI use cases for Razer’s gaming ecosystem.
Data Engineer
Build and maintain data pipelines, ETL/ELT systems, and warehouses in AWS to feed analytics and ML models, using Python, SQL, Spark and Kubernetes.
Data Engineer
Build and maintain scalable data pipelines, ETL processes, and data models using Python, Spark, SQL, and cloud services to support analytics and reporting.
Senior Full Stack Engineer
Build and maintain full-stack web apps using React/Next.js/Vue.js frontends and Node.js/GraphQL backends, with SQL/PostgreSQL databases and AWS serverless services.
Data Engineer
Designs and maintains data infrastructure and ETL pipelines for a large Indonesian conglomerate, using tools like Kafka, Spark, and BigQuery to process and analyze vast datasets across multiple industries.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and ML systems, ensuring high-quality, production-ready datasets.
Lead Data Engineer
Lead a team to design and build enterprise-scale data warehouses, lakes, and analytics pipelines using SQL, Python, and cloud platforms like Snowflake/AWS.
Python Data Engineer & QA Specialist
Build and maintain scalable data pipelines and QA processes using Python, cloud tools, and big data tech to deliver analytics solutions for clients.
Data Engineer - AWS Ecosystem (office OR remote)
Build and optimize AWS-based data pipelines and cloud architectures using Glue, EMR, Redshift, and S3 to transform raw data into reliable datasets for analytics.
[Job -31071] Data Architect, Brazil
Designs and maintains scalable, secure data architectures (data lakes, warehouses, lakehouses) and pipelines for AI-driven enterprise solutions, ensuring alignment with business needs and cloud platforms like AWS/Azure/GCP.
Senior, Data Engineer
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
Data Engineer als Senior Berater Projektmanagement & Kundenlösungen (m/w/d)
Senior data engineer designs and implements SAP and cloud-based analytics solutions for clients, focusing on BI, data warehousing, and advanced analytics using tools like SAP Analytics Cloud, Power BI, HANA, Snowflake, and Databricks.
Senior Consultant Data Engineering & Analytics - Aufbau & Design / Cloud-Lösungen (m/w/d)
Senior consultant designs and implements cloud-based data architectures (SAP, Azure, Snowflake, Databricks) and analytics solutions (SAP Analytics Cloud, Power BI) for enterprise clients.
Senior Software Engineer (Data Platform)
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
FS Technology Consulting - AI and Data - Data Engineer - Senior Consultant - Dublin
Senior Data Engineer builds and optimizes cloud data pipelines for financial services clients using Azure, Snowflake, and Databricks to support analytics and regulatory reporting.
Data Platform Engineer (Kafka)
Build and operate Verifone’s global data platform: Kafka streaming pipelines, multi-database systems, and cloud/on-prem infrastructure to power AI, analytics, and secure payment services.