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Data Engineer (Teradata, Informatica, Apache Spark)
Builds and optimizes ETL/ELT pipelines using Teradata, Informatica, and Spark to load enterprise data into warehouses and datamarts, plus automates CDC and MDM workflows.
Data Engineer
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.
Data Engineer-Consultant
Build and maintain scalable data pipelines, master data management systems, and cloud-based analytics infrastructure using Spark, Kafka, and cloud services.
Senior Expert Backend Engineer (LLM, Big Data Product Application) - Data Infra Team
Build and scale LLM-powered backend systems for AI-driven data analytics, including Text-to-SQL, dashboard generation, and insight automation, using Go/Java/Python and big data tools.
Big Data Engineer - Intern
Build and maintain big-data pipelines and analytics platforms using Spark, Hadoop, and cloud tools to turn manufacturing and tech data into business insights.
Software Engineer
Build and enhance a multi-dimensional indexing engine for Data Lakehouses using Java, Scala, and Rust, supporting open table formats like Iceberg.
Senior Data Engineer: Real-Time Retail Media & Forecasting
Build the real-time data backbone for a new adtech standard that turns physical retail shopper behavior into anonymized, measurable audiences using edge computing, streaming pipelines, and privacy-preserving AI.
(Sr) Data Engineer Retail Media, Measure & Forecast
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Senior Data Engineer
Design and build an AI-ready Data Lakehouse in Saudi Arabia using Delta Lake/Iceberg, Spark, and Kafka, ensuring compliance with NCA/NDMO standards.
Python Software Engineer, Commercial Systems
Lead Python engineer building automation for SaaS seat management and data-mesh integrations using open-source ETL tools.
Staff Data Engineer
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Senior Data Engineer
Senior Data Engineer building a secure Lakehouse (Iceberg) with NebulaGraph for complex relationships, scalable ETL/ELT pipelines (Spark/Python), and real-time streaming (Kafka/Airflow).
Data Platform Engineer
Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Data Platform Engineer
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
Senior Data Platform Engineer
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Senior Data Platform Engineer
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms for clients, working hands-on with Python/SQL pipelines, Spark/Polars processing, and Kubernetes deployments while learning under senior guidance.
Senior Data Platform Engineer
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Graduate / Junior Data Platform Engineer
Build and maintain open-source data platforms using Python, SQL, and modern tools like Spark, Airflow, and Kubernetes while learning from senior engineers.