Tech jobs
Job listings
Staff Data Platform Engineer
Build and scale a unified data platform for a telecom-as-a-service company, integrating data lakes, warehouses, and real-time pipelines using Spark, Airflow, and Kubernetes.
Data Engineer - Cloud Pipelines
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Cloudera Data Engineer
Builds and maintains big data pipelines using Cloudera CDP, Spark, Hive, and Hadoop to support analytics and production systems.
Senior Data Engineer
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
Sr. Data Engineer
Build and maintain the data pipelines, warehouses, and models that power AI agents handling real client operations, integrating messy business data into reliable workflows.
Senior Data Engineer
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Principal Data Engineer
Design and maintain scalable data pipelines using Databricks, dbt, AWS services, Python, and Java, while mentoring junior engineers and collaborating with stakeholders.
Junior Data Engineer
Builds and maintains scalable data pipelines using Databricks, dbt, AWS services, and Python/Java to support secure, mission-driven solutions for federal agencies.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouse models that power analytics, AI, and customer-facing products in a modern data stack.
Big Data Engineer — Build Scalable Spark Pipelines
Designs and builds scalable big-data pipelines using Spark, Hadoop, and Kafka, primarily in Java/Scala/Python, on AWS or Azure.
Big Data Engineer: Build Scalable Pipelines for Insights
Design and build scalable big-data pipelines using Spark, Hadoop, and Kafka to process and deliver actionable insights for a tech company in the UAE.
Senior Data Engineer, MLOps
Build and maintain ML pipelines and real-time inference services for AI-driven insurance risk models using AWS SageMaker, Snowflake Snowpark, and Kafka.
Senior Backend + DevOps Engineer (TypeScript/Node.js)
Build and scale backend services and infrastructure for a gaming platform using TypeScript/Node.js and Kubernetes, integrating AI across systems.
Senior DevOps Engineer (GCP) at Callsign – Abu Dhabi, Abu Dhabi, United Arab Emirates
Senior DevOps Engineer designs, builds, and secures scalable GCP infrastructure using Kubernetes, Terraform, and CI/CD pipelines to support Callsign’s digital-identity platform for global financial clients.
AI DevOps / Cloud Engineer (MLOps)
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Senior DevOps Engineer - Data Store
Senior DevOps Engineer maintains SailPoint’s Identity Security Cloud SaaS in the UAE, running Kubernetes clusters, CI/CD pipelines, and distributed data stores (MySQL, PostgreSQL, Kafka, etc.) while ensuring 24/7 availability and compliance.
Senior Java Backend Engineer – Low-Latency, Streaming
Build and optimize ultra-low-latency backend systems and microservices using Core Java, Kafka, and Flink for real-time data processing in a cloud-native environment.
Senior Full Stack Engineer - Payments (TL)
Lead a payments team building high-concurrency Go services and rails integrations for a unified fintech platform spanning fiat, crypto, and investments, while mentoring engineers and shipping secure transactional features end-to-end.
Senior Full Stack Engineer (TL) — Back-Office Platform
Lead a full-stack team building an internal compliance and operations console for a stealth-mode fintech startup, using React, TypeScript, PostgreSQL, and Kubernetes.
Architecte data engineering - Industrie H/F
Designs and implements enterprise-scale data platforms (Data Lake, Warehouse, Mesh) using cloud and on-prem tools, then guides teams on best practices for storage, processing, and governance.