Tech jobs
Job listings
Data Engineer
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Data Engineer-Consultant
Build and maintain scalable data pipelines, master data management systems, and cloud-based analytics infrastructure using Spark, Kafka, and cloud services.
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
Build and maintain SOX-compliant Finance data pipelines and semantic models in Databricks and Power BI to deliver trusted, audit-ready data for Coty’s global reporting and analytics.
Data Engineer at Devoteam
Build and maintain data quality frameworks and pipelines, enforcing standards across systems and mentoring teams to ensure reliable enterprise data.
Data and AI Architect (Saudi Arabia)
Designs and governs enterprise data architecture, integrating AI/ML and MLOps to enable scalable, secure, and trusted data-driven solutions and decision-making.
Jefe de Data Analytics
Lead the design and implementation of a corporate AI, analytics, and data-governance strategy using AWS and Databricks, building scalable cloud data architectures and ML models for predictive maintenance and supply-chain optimization.
Data Engineering Manager
Lead a global data engineering team to design, build, and maintain secure data platforms and pipelines using cloud (Azure/AWS/GCP), ETL/ELT, Kafka, and governance frameworks.
Ssr Data Engineer
Designs and builds scalable data pipelines and warehouses using AWS/Azure, ETL tools, and SQL to enable business analytics and decision-making.
Data Engineer
Build and maintain data pipelines and cloud data warehouses (Azure, AWS) using PySpark, Databricks, SQL, and Qlik to support analytics and decision-making in a pharma company.
Full Stack Developer
Build and maintain enterprise data platforms and integrations using Java/Spring Boot, Node.js/Vue.js, and Kafka, while embedding AI tools to improve code quality and reliability.
Data Analyst /Data Engineer /Data Architect - Wealth Management
Design and build cloud-based data pipelines (ETL/ELT) using Azure Data Factory and Databricks to support analytics and reporting for a leading APAC securities firm.
Director, AI and Analytics Sales
Infoverity is a leading systems integrator and global professional services firm driven to simplify and maximize the value of their clients’ information. Founded in 2011, Infoverity provides complementary services for…
Data Engineer Level II (Bench) - Snowflake, SQL (Nightshift)
Builds and maintains Snowflake-based ELT pipelines and data warehouses, writes SQL, and automates ETL/ELT processes for an insurance-focused outsourcing team on night shift.
Data Engineer Level II (Bench) - Snowflake, SQL (Nightshift)
Builds and maintains Snowflake-based ELT data warehouses, automates ETL pipelines, and supports night-shift production for an insurance-focused outsourcing team.
Senior Systems Analyst
Senior Systems Analyst provides global desktop and end-user support, manages Windows environments, Active Directory, Citrix/Azure VDI, and market data apps while troubleshooting networks and devices for enterprise clients.
Senior Manager/Associate Director, Enterprise Integration & Data Engineering
Lead enterprise integration and data engineering for a neuroscience biopharma, designing secure, compliant data flows between ERP, CRM, clinical systems, and analytics platforms.
Lead Data Engineer (ETL & Data Migration)
Lead hands-on ETL and data-migration projects, designing pipelines, writing SQL/Python, and guiding clients through legacy-to-target migrations until go-live.
Data Engineer {Data Governance}
Designs and enforces data governance policies, manages master data, and ensures compliance with standards for secure, high-quality data across teams.
Sr Data Engineer
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and lakehouses using ETL/ELT tools to feed analytics and business decisions.