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Data Engineer (SSE / Staff Engineer) - Python & Spark & AWS
Design and build scalable data pipelines and analytics infrastructure using Python, Spark, and AWS for large-scale data processing and real-time streaming.
Senior Data Engineer
Builds and optimizes enterprise-scale data pipelines and platforms for a fintech company, specializing in Hadoop/Spark ecosystems to ingest, transform, and distribute data across distributed systems like Teradata and RDBMS.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Data Platform Engineer - Security (m/f/d)
Builds and maintains real-time data pipelines and cyber data lakes that feed SIEM/SOAR systems, enabling threat intelligence, incident response, and compliance in a banking environment.
Azure Data Engineer - Banking - Dubai UAE
Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Data Engineer Job in Dubai, United Arab Emirates
Build and maintain Azure-based data pipelines and warehouses using Synapse, Databricks, and ADF to turn SAP and other sources into clean, business-ready datasets.
Data Platform Engineer
Build and maintain a scalable data platform using Scala/Java/Python/Go, SQL, and cloud tools like AWS/GCP, collaborating with engineers and analysts.
Senior Data Engineer | CNS Middle East | Abu Dhabi, UAE
Designs and optimizes cloud-based data pipelines on Azure (ADF, Databricks, Synapse) to enable enterprise analytics, ensuring scalability, governance, and performance for large-scale data initiatives.
Senior Data Platform Engineer
Build and optimize scalable data pipelines and platforms using Python, Spark, and GCP, while integrating AI-driven workflows to improve data engineering processes.
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
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Senior Data Engineer
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
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.
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.
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 Software Engineer (Data Infrastructure & Reliability)
Build and operate large-scale data infrastructure (SQL/NoSQL, Kafka, Hadoop) and cloud-native systems to ensure reliability and performance for Criteo's adtech platform.
Senior Data Engineer | tot €7.000 + bonus + auto
Senior Data Engineer builds and optimizes modern data platforms for clients, designing cloud-based architectures with Azure, Databricks, Python, and SQL while leading technical projects.
Senior Data Engineer bij DIKW
Senior Data Engineer builds and optimizes data pipelines using SQL, Python, Spark, and cloud tools like Azure Data Factory and Databricks to deliver scalable data solutions.
Backend/ Fullstack developer stationsmiddelen
Build and maintain backend systems and admin interfaces that monitor and control NS station equipment like gates and poles, migrating legacy apps to Azure and improving availability.