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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.
Designs and maintains Azure-based data pipelines, warehouses, and Databricks solutions, then builds Power BI dashboards to turn data into business insights.
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.
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.
Design and deploy AI/ML pipelines and GenAI apps to personalize trading experiences, predict customer churn, and automate marketing workflows using Python, SQL, and AWS SageMaker.
Design and maintain scalable data pipelines and infrastructure to support AI, ML, and analytics initiatives for a global fintech trading platform.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Senior Data Engineer builds and maintains data pipelines, cleans and processes complex datasets, and designs ETL/ELT workflows using Python, SQL, and AWS tools to power Presight’s GenAI-driven analytics platform.
Build and maintain data pipelines, automate integrations, and help scale a cloud data warehouse for a grid-scale energy storage company using Python, SQL, and cloud services.
Build and maintain reliable data pipelines for a global fintech, powering trading decisions, compliance, and AI systems with real-time accuracy and governance.
Build and maintain scalable data pipelines and warehouse models that power analytics, AI, and customer-facing products in a modern data stack.
Designs and maintains cloud-based data warehouses (Redshift/BigQuery/Snowflake) and builds ML pipelines using Python, Airflow, and cloud services (AWS/GCP/Azure/Oracle).
Leads data engineering for a large retail group, building scalable data warehouses, ETL pipelines, and Power BI dashboards to turn raw data into actionable business insights.
Build and deploy AI solutions (ML models, agents, RAG) for clients across industries, from data pipelines to production systems.
Forterro FR is seeking a Data Engineer to advance our data-driven strategy within Enterprise IT Applications. You will design and optimise scalable data solutions, maintain the centralised data warehouse, and ensure…
Designs and leads the build of a new data warehouse, models data flows, and ensures quality and compliance for a recruitment firm’s analytics stack.
Designs and implements enterprise-scale data platforms (Data Lake, Warehouse, Mesh) using cloud and on-prem tools, then guides teams on best practices for storage, processing, and governance.
Build and maintain batch and streaming pipelines for a fast-growing e-commerce platform, ensuring clean, reliable data in Snowflake/BigQuery using Airflow, Kafka, and dbt.
Senior Data Engineer designs and builds scalable Azure-based data pipelines and analytics platforms using Python, SQL, and Azure Databricks for client projects.
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