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Build and lead Snowflake-based data pipelines and analytics solutions for clients, mentoring teams and enabling AI-driven applications in a hybrid consultancy role.
My client is seeking a Senior Data Engineer with strong AWS data engineering experience to design, build and optimise scalable data pipelines across both batch and real-time environments. This role is ideal for someone…
Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
Designs and builds scalable cloud data platforms using AWS Redshift and Airflow pipelines for a global client.
Mobilink Bank is seeking a DLH Support Engineer to monitor, triage, and resolve issues across our Data Lakehouse pipelines. The role covers 24x7 operations with night/weekend shifts, focusing on Iceberg/MinIO/Trino…
Owns Kubernetes infrastructure, CI/CD pipelines, and data-platform reliability for an agency that builds digital products, ensuring SLAs for Airflow pipelines and containerized workloads.
Designs and maintains scalable data pipelines using Airflow, Spark, Kafka, and Iceberg tables, containerized via Docker/Kubernetes and deployed through GitLab CI/CD.
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and ETL processes in Azure, SQL Server, and Snowflake to power analytics and reporting for a nationwide bank.
Lead a small team to architect, build, and productionize AI/ML and backend systems, turning data science experiments into reliable services and setting engineering standards.
Eaton has been a key player in the Middle East for 40 years. In July 2024, we announced the construction of a new sustainable campus in Dubai, which will bring together our commercial, manufacturing, and support…
Build and optimize PySpark pipelines on Cloudera for large-scale banking data, enabling reliable ETL and analytics that power critical financial applications.
Design and maintain scalable ETL pipelines and data infrastructure in Python and SQL, automating data workflows with Airflow to support analytics and decision-making.
Build and own Ziina’s data pipelines, warehouse, and analytics stack from scratch using Snowflake, Dagster, dbt, and Python to power decision-making and future ML/AI at a fast-growing fintech.
Build and maintain data pipelines and platforms in Python/SQL to make data reliable and accessible for teams, using tools like Airflow, Spark, and Snowflake.
Build and maintain PRYPCO’s data platform, designing reliable pipelines and tools to make data accessible for teams using Python, SQL, Airflow, Spark, and Snowflake.
Lead a team to design and maintain scalable data pipelines using Databricks, DBT, and Airflow for reliable analytics and self-service BI.
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.
Build and maintain Python-based data pipelines in Prefect to ingest API and telemetry data into PostgreSQL, automate reporting, and improve the energy-infrastructure data platform.
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.
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