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Data Engineer: Build Scalable Pipelines & Cloud Warehouses
Designs and builds scalable ETL/ELT pipelines, cloud data warehouses, and data models to support analytics and BI using SQL, Python/Java/Scala, and cloud platforms.
ClickHouse Data Engineer for Scalable Data Warehouse
Designs and builds a ClickHouse-based data warehouse, including raw, staging, and mart layers, to power analytics and reporting.
Data Engineer | ETL, SSIS & Data Warehouse
Builds and maintains ETL pipelines and data warehouses using MS SQL Server, T-SQL, and SSIS for an insurance client.
Data Architect (Category - Architect) (Doha)
Designs and governs enterprise-scale data platforms for an AI-driven oil & gas company, focusing on cloud-native architectures (Azure), data governance, and AI-ready data models to support predictive maintenance and subsurface modeling.
Data Management and Business Intelligence Analyst doha
Analyze oil and gas project data, build Power BI dashboards, and optimize workflows using SQL and SharePoint for a national operator in Doha.
Data Architect (Category - Architect) (Doha)
Designs and governs enterprise-scale data platforms for an oil & gas company, focusing on cloud-native architectures (Azure/Synapse/Databricks) to support AI, analytics, and predictive maintenance in Doha.
Senior Data Engineer - Cloud Data Warehouse & ETL Lead
Design and build scalable cloud data pipelines and warehouses for a fintech company, transforming raw data into clean, analytics-ready models for BI dashboards.
Data Engineer Snowflake - Qatar
Senior Data Engineer builds and optimizes Snowflake-based cloud data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
Senior Data Engineer
Design and build scalable data pipelines and warehouses using GCP, BigQuery, and Airflow to integrate ERP/CRM data for analytics and reporting.
Senior Data Engineer – Cloud Data Warehouse & ETL Leader
Leads cloud data warehouse design, ETL pipelines, and BI data flows using GCP/BigQuery and SQL to build scalable analytics infrastructure for a fintech company.
Senior Data Engineer
Designs and builds scalable data pipelines and warehouses using GCP/BigQuery, SQL, and ETL tools to feed analytics and reporting for a fintech platform.
Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Senior Data Engineer
Builds data lakes, warehouses, and ETL/ELT pipelines on-prem and in GCP, focusing on Oracle/PostgreSQL tuning, BigQuery, Kafka/Pub-Sub, and Python/R data loading.
Expert Data Engineer
Design and build scalable data platforms, ETL/ELT pipelines, and cloud data warehouses using GCP tools like BigQuery, DBT, Airflow, and Trino to support data-driven decisions.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using GCP, BigQuery, DBT, Airflow and Trino to enable scalable analytics and data-driven decisions.
Data Engineering Manager
Lead a hybrid role managing data engineering teams and client projects, designing Azure-based cloud data platforms and GenAI-ready data architectures for banking, insurance, and retail clients.
Data Engineer
Build and optimize Accelerant’s cloud-based data platform, designing pipelines, APIs, and ML infrastructure to power analytics and SaaS for specialty insurance risk exchange.
Senior Analytics Engineer: Build Trusted Data & Dashboards
Build and maintain reliable data pipelines and dashboards for a global fintech company using SQL, data warehousing, and Tableau.
Senior AI Platform Engineer — Data Tooling & Governance
Builds and maintains a secure, governed AI data platform in Python on GCP that coordinates tools, enforces lineage, and ensures replayability for AI workloads.
Analytics Engineer - Data Products & DW (Hybrid Madrid)
Build and maintain a semantic data layer for a fintech company, modeling domain-specific data warehouses and enabling AI agents and stakeholders to query business context.