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 build scalable cloud data pipelines and warehouses for a fintech company, transforming raw data into clean, analytics-ready models for BI dashboards.
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.
Design and build scalable data pipelines and warehouses using GCP, BigQuery, and Airflow to integrate ERP/CRM data for analytics and reporting.
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.
Designs and builds scalable data pipelines and warehouses using GCP/BigQuery, SQL, and ETL tools to feed analytics and reporting for a fintech platform.
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 and optimizes Snowflake-based data pipelines and cloud-native platforms, mentors junior team members, and collaborates with clients to modernize their data infrastructure.
Senior Data Engineer builds and optimizes cloud-native Snowflake data platforms for financial institutions, designing scalable ELT/ETL pipelines and modern data warehouses to enable analytics and regulatory reporting.
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.
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.
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.
Build and maintain reliable data pipelines and dashboards for a global fintech company using SQL, data warehousing, and Tableau.
Builds and maintains a secure, governed AI data platform in Python on GCP that coordinates tools, enforces lineage, and ensures replayability for AI workloads.
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.
Build and scale data pipelines and services for a sustainability-focused AI platform, using SQL, ETL/ELT tools like Airflow, and modern data warehousing to power analytics and decision-making.
Architect and operate hybrid cloud data infrastructure (AWS + GCP) for a fintech client, building scalable data lakes, pipelines, and ensuring data quality and cost optimization.
Design and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Build and extend a global data platform using Databricks, Azure Data Factory, Azure Analysis Services and Power BI to deliver BI and data-warehousing solutions for a multinational recruitment firm.
Senior Data Engineer builds scalable data platforms on Databricks and cloud engines to power analytics and decision-making for clients and partners.
Build and maintain data pipelines and ETL processes using Microsoft Fabric and Azure to integrate migration-related datasets for analytics and reporting.
We couldn't check your fit for this role — add a CV to your profile to see it next time.