Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI dashboards.
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
Designs and builds scalable ETL/ELT pipelines and cloud data architectures to transform client data into actionable insights, ensuring quality and security from ingestion to warehouse/lake.
Senior Data Engineer designs data architectures and Databricks pipelines for a major retail company, builds ML/AI agents, and supports Power BI analytics.
Design and build cloud data pipelines and models using Microsoft Fabric and Azure services for enterprise clients.
Lead a team building scalable GCP data pipelines and cloud data warehouses for enterprise clients, using BigQuery, Dataflow, and DevOps practices to enable data-driven decisions.
Build and optimize cloud data pipelines for clients using Spark, Kafka, and cloud platforms like Databricks or Azure, ensuring scalable, real-time data solutions.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using Spark, Kafka, and cloud platforms (Databricks, Snowflake, Azure) to enable real-time analytics and reporting for enterprise clients.
Build and maintain modern GCP-based data pipelines and warehouses for a fast-growing natural-cosmetics e-commerce company.
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and maintain scalable Azure data pipelines using Azure Data Factory, Synapse, Databricks, and Fabric to transform raw data into actionable insights for BI and analytics teams.
Design and build end-to-end data pipelines on Microsoft Azure, using Data Factory, Data Lake, SQL DB and Analysis Services to deliver production-ready analytics and AI platforms.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Builds and maintains robust data pipelines for financial institutions, collecting and transforming data for analytics and regulatory compliance using Python, SQL, and cloud platforms.
Lead a team to build, optimize, and maintain modern data pipelines using DBT and SQL, ensuring reliable, scalable data infrastructure for enterprise clients in finance, healthcare, mobility, and climate sectors.
Data Engineer builds and maintains scalable data pipelines, integrates diverse sources, and ensures data quality for clients and internal projects using Python, Spark, and cloud platforms.
Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
We couldn't check your fit for this role — add a CV to your profile to see it next time.