Tech jobs
Job listings
Data Engineer
Build and maintain scalable data pipelines and warehouses, optimize ETL workflows, and ensure data quality for analytics and ML using SQL, Python, Spark, and cloud AI tools.
Data Engineer
Design and build scalable data pipelines and warehouses that feed analytics and ML models, using SQL, Python/Java, and Spark.
Data Engineer - KT
Design and build scalable cloud-native data pipelines and lakehouse architectures, integrating AI/ML capabilities for a government data platform using Python, Spark, Kafka, and AWS services.
Quantexa Data Engineer
Design and build large-scale data pipelines using Quantexa, Apache Spark, Scala, and Elasticsearch to power compliance and financial crime solutions for banking clients.
Research Associate (Data Engineering)
Build and maintain a secure, scalable data platform for environmental monitoring, ingesting sensor and satellite data to power dashboards and research.
Data Engineer
Build and maintain data pipelines and infrastructure for a fast-growing multi-currency fintech wallet, enabling analytics, AI agents, and customer-facing features across APAC markets.
Data Engineer
Build and maintain data pipelines, warehouses, and ML models on Azure Databricks using Python, Spark, and TensorFlow to power analytics and predictions for a global logistics firm.
Architect - Data Engineering and Analytics
Lead the design and delivery of scalable data platforms and analytics solutions using Databricks, Snowflake, and Tableau to enable self-service BI and advanced analytics across Finance, Supply Chain, and other domains.
Data Engineer
Design and build scalable cloud data platforms, ETL/ELT pipelines, and lakehouse solutions using Python, Spark, Kafka, and Airflow to support enterprise AI initiatives.
Data Engineer Data Engineering & Analytics Team (Data & AI)
Design and maintain scalable data pipelines, ETL/ELT processes, and data models to support analytics and reporting for a clean-energy company.
Data Engineer
Designs and builds scalable big-data pipelines using Hadoop, Spark, and Python to enable analytics and business intelligence for enterprise clients.
Data Engineer
Build and optimize cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica for healthcare analytics and AI/ML workloads.
Senior Data Engineer
Build and maintain scalable data pipelines in Databricks/Snowflake, ingest external financial data, and enforce data quality and governance for a fintech platform.
AI-Powered DevOps Engineer, Data Platform
Builds and maintains AI-enhanced cloud infrastructure, CI/CD pipelines, and data workflows across GCP and AWS to ensure reliability and security for NTU’s central data platform.
Senior Staff Software Engineer, Data Infrastructure AI Agent
Builds and leads the data infrastructure for Google Cloud’s AI agents, designing scalable pipelines, semantic models, and real-time systems to power secure, high-performance generative AI applications.
Azure Cloud Architect & Data Platform Engineer
Designs and builds scalable cloud solutions and modern data platforms on Microsoft Azure, focusing on cloud migration and data governance.
AI-gestützter Data Platform Engineer
Builds and maintains the company’s Databricks-based data platform, integrating diverse data sources and applying AI methods to create reliable data pipelines and new data products.
Senior Data Engineer — Unified Data Platform for 60+ Brands
Senior Data Engineer builds and maintains a central data platform for 60+ brands using Databricks, SQL, and cloud tools, ensuring data governance and pipeline optimization.
Senior Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks (PySpark, Delta Lake) in Azure, design Medallion architectures, and collaborate with data scientists and BI teams.
Data Engineer ambito Big Data
Build and maintain scalable big-data pipelines using Spark, Kafka, NiFi, and Iceberg to move and transform data from source to analytics-ready layers with zero data loss.