Tech jobs
Job listings
Fullstack Developer with Python
Builds and maintains Python-based REST APIs, data pipelines, and CI/CD workflows for a cybersecurity team that automates vulnerability detection and integrates third-party security tools.
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.
Data Engineer
Build and maintain a scalable datalake and canonical data model for SITA’s AI-powered airline operations platform, ingesting airline systems and ensuring reliable data for disruption recovery features.
(Senior) Data Engineer Beschaffung & Logistik (w/m/d)
Designs and builds cloud-based data pipelines and DataVault 2.0 models for procurement and logistics, using SQL, dbt, Airflow, and BigQuery to deliver scalable analytics and metrics.
Data Engineer – Travel Tech, Hybrid (Chiasso)
Designs and maintains data pipelines on Google Cloud Platform, optimizing data processes for travel-tech analytics using SQL, BigQuery, and Airflow.
Senior Data Engineer
Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Data Engineer
Build and maintain scalable data pipelines on GCP to power travel-tech analytics, using Python, dbt, Airflow, and BigQuery while collaborating with cross-functional teams.
Databricks Data Engineer — ML Pipelines & Lakehouse (Hybrid)
Design and build scalable data pipelines for ML workloads using Databricks and Apache Airflow for a leading AI consultancy.
Databricks Data Engineer
Build and maintain scalable data pipelines on Databricks for AI/ML workloads, using orchestration tools like Airflow and dimensional modeling.
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.
Data Engineer
This is a remote position. Job Summary We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure and pipelines. In this role, you will be responsible for…
Backend Developer
Backend Developer builds and maintains secure, scalable AWS microservices in Python (FastAPI/Flask) to power Trustonic’s global device-financing platform, using Lambda, SQS, API Gateway, and PostgreSQL.
Sr. AI Engineer (GCP)
Build and deploy ML models on GCP for a healthcare-focused product, including MLOps pipelines, Vertex AI, and secure API integrations with strict KSA compliance.
MLOps & AI Platform Engineer
Build and automate scalable MLOps platforms and AI infrastructure, deploying ML pipelines on Kubernetes and cloud-native environments to support data scientists and AI engineers.
Applied AI Engineer
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
GCP AI Engineer
Build and deploy AI/ML models on GCP and on-prem for healthcare claims processing, using Vertex AI, BigQuery, and FastAPI to create scalable, secure, and compliant microservices.
Data Scientist
Design and maintain scalable data pipelines and infrastructure for Saudi Aramco’s Downstream Global Optimizer, enabling real-time analytics and machine learning to optimize refining and energy operations.
Senior Data Engineer: Build Scalable ETL Pipelines & Cloud
Senior Data Engineer builds and maintains scalable ETL pipelines for a fintech valuation platform, ingesting financial data via APIs and databases and transforming it for analytics using dbt and Airflow.
4261- Data Engineer at Innovaccer
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake/AWS Redshift/Azure Synapse) to power AI-driven healthcare analytics in Saudi Arabia, integrating HL7/FHIR clinical data.
Data Scientist Job in Saudi Arabia
Build and maintain Python-based data pipelines, ETL workflows, and backend services using Airflow, BigQuery, and PySpark to support enterprise-scale analytics and digital transformation.