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Data engineer - regulatory reporting ( IFRS9, Basel)
Builds and maintains ETL pipelines in SQL, Python, and SAS to feed IFRS9 and Basel risk models, ensuring clean data for credit risk calculations and regulatory reporting.
Lead Data Engineer
Lead a team building and optimizing large-scale data pipelines, data lakes, and warehouses using Azure, Spark, Kafka, and Snowflake to power analytics and ML for Emirates’ enterprise systems.
Senior Data Engineer
Design and build data pipelines, warehouses, and analytics solutions for Emirates Group using Azure, Spark, Kafka, and SQL to support airline operations and reporting.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses for an airline’s global operations using Azure, Spark, and Kafka to support analytics and reporting.
Data Engineer
Design and maintain data pipelines, lakes, and warehouses to deliver high-quality data for analytics and AI use cases, collaborating with product teams and stakeholders.
Data Engineer
Builds and maintains data pipelines, ETL processes, and real-time data systems using Python, SQL, and cloud tools like GCP and Cloudera Hadoop.
Senior Data Engineer
Designs, builds, and maintains data pipelines and analytics solutions using AWS, SQL, and big data tools to process structured and unstructured data.
Senior Data Engineer
Designs and builds data pipelines and analytics infrastructure using AWS services, SQL, Python, and big-data tools to support predictive modeling and business insights.
Senior Data Engineer - Lakehouse Migration & Spark
Build and migrate data pipelines from Hadoop to a modern lakehouse using Spark 3 and Iceberg, ensuring reliable reporting and analytics for core business needs.
Senior Lakehouse Migration Data Engineer
Design and build production pipelines to migrate a legacy Hadoop warehouse to a modern lakehouse using Spark, Iceberg, and Airflow for core analytics.
Senior Lakehouse Data Engineer – Migration Specialist
Build and migrate data pipelines from legacy Hadoop to a modern lakehouse using Spark, Iceberg, and Airflow to power core analytics and reporting.
Big Data Engineer — Informatica, Hadoop & Spark
Designs and builds scalable data pipelines using Hadoop, Spark, and Informatica to integrate and process enterprise data with ETL/ELT workflows.
Data Engineer
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Data Engineer – Lakehouse Migration (Spark/Iceberg)
Build and migrate data pipelines to a modern lakehouse using Spark and Iceberg, replacing a legacy Hadoop warehouse while maintaining core reporting systems.
Middle Data Engineer
Designs and maintains batch and real-time data pipelines using Spark, Kafka, and cloud platforms like Snowflake or AWS to power BI, ML, and AI initiatives.
Senior Data Engineer
Senior Data Engineer at DiDi troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
DevOps Engineer for AI SaaS & Cloud Infra — Stock Options
Build and automate cloud infrastructure for an AI-powered SaaS platform, focusing on reliability, security, and scalable deployments while improving developer workflows.
Аналитик-разработчик (Python / SQL)
Разрабатывает и поддерживает бизнес-логику на Python/SQL, интегрирует данные из разных источников и внедряет алгоритмы расчёта для цифровых решений в госсекторе, финтехе и других отраслях.
Data Platform Engineer – Amsterdam, Hybrid (Relocation and Visa sponsorship included)
Build and maintain large-scale on-premise big data platforms (500+ nodes, 23+ PB storage) for a global payments unicorn, focusing on OLAP and data engineering tooling.