Tech jobs
Job listings
Data Engineer - Public Sector
Builds and maintains Azure-based data pipelines, manages data in Azure Data Lake, and integrates with Power BI for reporting and BI solutions.
Data Center & App Support Specialist — Multi-Cloud DevOps
Maintains multi-cloud data-center infrastructure, ensuring uptime, security, and data integrity while providing first-line app support for internal IT systems.
Data Engineer
Build and maintain distributed data pipelines and processing systems for a Vulnerability & Exposure Management Platform, handling millions of daily events with Python, PySpark, and cloud tools.
Vice President Data Architect
Define and govern the bank’s target data architecture, ensuring accurate, secure and accessible data for stakeholders while aligning with business strategy and regulatory standards.
Assistant Vice President Solutions Architect
Design and govern the bank’s target data architecture, including shared environments and standards, balancing business needs with security and resiliency in a regulated financial setting.
Data Engineering Consultant (w/m/x)
Design and build data platforms in Azure and on-premises, integrating data pipelines for clients in automotive, life sciences, finance, or manufacturing using SQL, Python, and DevOps.
Data Engineering Consultant (w/m/x)
Design and build data platforms in Azure and on-premises, integrating data for clients in mobility, healthcare, finance, or manufacturing using SQL, Python, and DevOps.
Data Engineer (H/F)
Designs scalable data architectures (Data Lake/Warehouse) and builds batch/real-time pipelines using modern platforms like Databricks or Microsoft Fabric, cloud (Azure/AWS/GCP), SQL and Python.
Senior Azure Databricks Data Engineer - HR Data Pipelines
Design and build scalable Azure Databricks data pipelines for HR datasets, focusing on automation, testing, and production-quality analytics in a hybrid London setup.
Databricks Data Engineer
Build and maintain scalable Azure Databricks data pipelines and analytics for HR tech, using Spark, SQL and Azure services to automate employee lifecycle data flows.
Enterprise / Data Architect
Design and govern a large-scale data lakehouse and medallion architecture for a bank, ensuring alignment with enterprise models like FSLDM and regulatory standards.
AI Engineer
Build and deploy AI systems for a Saudi real-estate platform: integrate LLMs, design RAG pipelines, and ship production-ready analytics tools for commercial, retail, and residential portfolios.
Junior Data Engineer
Build and maintain ETL pipelines and data systems using Python, Airflow, Spark, and PostgreSQL to process geospatial data for a next-gen mapping platform.
Data Modeler / Big Data Engineer
Designs and maintains scalable data models and architectures for a bank’s enterprise data platform using Cloudera, Hadoop, and Apache Iceberg.
Senior Data Engineer
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
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 Architect / Data Engineer (AI Hub) - Riyadh
Design and deliver modern data platforms for AI-driven transformation, assessing architecture, defining roadmaps, and ensuring governance and security in a consulting role.
Data Architect / Data Engineer (AI Hub) - Riyadh
Design and deliver modern data platforms for clients, assessing architecture maturity and defining roadmaps for governance, migration, and cloud enablement in a consulting role.
Big Data Engineer
Design and build scalable ETL/ELT pipelines and real-time dashboards for industrial digitalization in oil & gas, petrochemicals, utilities, and manufacturing using Hadoop/Cloudera, PySpark, and BI tools.
Senior Specialist - Data Engineering
Design and maintain scalable data pipelines and ETL processes using Spark, Kafka, and Airflow, and optimize data storage in cloud warehouses and lakes to support analytics and ML initiatives.