Top Tech Jobs & Startup Jobs

Build and maintain ETL/ELT pipelines, cloud data warehouse models, dashboards, and reports. Ensure data quality, governance, lineage, and reliable metric definitions while translating stakeholder needs into actionable analytics. Support AI-enabled reporting, natural-language querying, anomaly detection, and governed LLM tools. Collaborate with business, IT, and engineering teams to automate reporting and improve self-service data access.

Administer, configure, monitor, and support Google Mandiant security solutions in a banking environment. Manage threat intelligence and security validation, monitor threats and vulnerabilities, support detection and incident response, integrate security platforms, troubleshoot issues, assess security-control gaps, prepare documentation, and ensure regulatory compliance.

Owns the design, development, testing, deployment, and stabilization of production React applications and reusable TypeScript component libraries. Integrates front ends with REST APIs and Microsoft cloud services, implements automated testing and CI/CD quality gates, and optimizes accessibility, performance, security, and maintainability. Conducts code reviews, guides architecture and technical-debt remediation, collaborates with cross-functional teams, documents technical decisions, and transfers knowledge to internal developers.

Lead end-to-end architecture for Microsoft Power Platform, Azure, and integrated enterprise solutions. Define data, security, integration, environment, ALM, and governance strategies; guide technical decisions; conduct architecture reviews; manage risks and dependencies; support planning and releases; coach development teams; and provide production stabilization and root-cause analysis.

Manage and optimize S3 and NFS storage platforms in HPC environments to ensure high availability, performance, scalability, capacity planning, access control, replication, backups, and secure data access. Troubleshoot storage and data-access issues, integrate storage with Linux and Kubernetes workloads, automate administration, perform health monitoring and incident RCA, and maintain operational documentation.

Supports cybersecurity governance, risk, and compliance initiatives for a governmental institute. Responsibilities include risk assessments, security controls, policies, audit requirements, compliance reporting, documentation, and risk management activities. The role requires onsite work in Tabuk and is open to Saudi nationals. Government or public-sector experience and GRC certifications such as CISA, CRISC, or ISO 27001 are preferred.

Design, develop, deploy, and maintain business applications and workflow automation solutions using Microsoft Power Apps and Power Automate. Translate business requirements into Canvas and Model-Driven Apps, configure Dataverse, create Power Fx logic, integrate enterprise systems, implement security and governance, and perform testing, troubleshooting, optimization, deployment, and documentation.

Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, PySpark, Python, and SQL. Transform large datasets, optimize data ingestion and queries, monitor pipeline performance, resolve data quality issues, support data modeling, document engineering standards, and contribute to cloud data infrastructure improvements. The role also involves collaboration with architects and senior engineers and requires familiarity with Azure Synapse, Delta Lake, governance, and security.

Operate and improve enterprise cybersecurity controls across IT environments. Monitor alerts, investigate and contain incidents, support endpoint, network, cloud, email, identity, and access security operations, and coordinate vulnerability remediation. Maintain security integrations, playbooks, procedures, and operational documentation. Support patching, migrations, access reviews, privileged-access monitoring, control validation, and continuous improvement across hybrid infrastructure and third-party services.

Build and maintain enterprise dashboards, automated reports, data models, and KPI frameworks using BI platforms. Optimize DAX and SQL queries, support ETL/ELT integration from enterprise systems into data warehouses, and translate stakeholder needs into executive reporting solutions. Enforce data governance, row-level security, data quality, and access controls across BI environments.