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, secure AWS data platforms and lakehouse architectures using Lambda, Glue, S3, and Lake Formation.
Design and build scalable AWS-based data pipelines using Python, Spark, and cloud-native services to power analytics and reporting.
Translate water-utility business needs into Azure-based data models, KPIs, and Power BI dashboards, bridging stakeholders and technical teams.
Build and optimize scalable data pipelines using Python, Spark, and AWS services like Glue, EMR, and S3 to power a modern data platform for financial indices.
Senior Data Engineer builds and scales reliable ETL/ELT pipelines, data ingestion systems, and cloud data warehouses in AWS to power analytics and AI workflows using Python, SQL, and modern data stack.
Build Power BI dashboards and analyze data in Databricks to deliver business insights for a high-impact analytics initiative in a product-driven company.
Build and optimize cloud-based data pipelines and analytics platforms using Databricks, PySpark, and Delta Lake to support real-time and batch processing for a fintech partner.
Lead the design and evolution of AI and data platforms using Kubernetes, microservices, and MLOps tooling to build scalable, production-grade systems.
Build and maintain enterprise analytics solutions using Microsoft Fabric and Power BI, including semantic models, RLS, and KPIs in DAX for business reporting.
Principal Data & Analytics Engineer designs and builds scalable Azure-based data pipelines, datasets, and Power BI reports for UK clients, using Databricks, Microsoft Fabric, and SQL/Python.
Senior Data Engineer builds scalable pipelines and Power BI reports using Microsoft Fabric and Azure for a UK-based real-estate developer in Karachi.
Build and modernise cloud-native data platforms and pipelines for clients, using Python, SQL, and tools like Azure/AWS/GCP and Databricks.
Build and optimize cloud-native data platforms and pipelines for clients using Python, SQL, and tools like Azure Data Factory, Databricks, and Snowflake.
Senior Data Engineer responsible for conceptualizing data solutions, modernizing data environments, and building data pipelines using technologies like Microsoft Azure, Power BI, Python, and Fabric/Databricks. Works with clients and cross-functional teams to deliver actionable insights and optimize data infrastructure.
Lead a modern data platform using Medallion architecture, pipelines, and Microsoft Fabric to build scalable, open-source solutions that track and analyze global aid spending for sustainable development.
Buscamos un profesional estratégico y con una sólida base técnica. Como Coordinador del área, serás responsable de diseñar la estrategia corporativa de IA y Analytics , estructurar el programa de Gobernanza de Datos…
Build and maintain Python/Java backend services and data pipelines for Loora’s AI English tutor, including real-time processing, analytics, and AI model training infrastructure.
Principal Data Engineer – Databricks | Spark | Delta Lake | PySpark | Data Lakehouse | AWS/Azure Location: Toronto Work Model: Onsite (4 days/week) Key Requirements 12–18 years of overall Data Engineering experience.…
Design and build scalable data pipelines, ML workflows, and governance frameworks on Azure to enable analytics and AI across an insurance company.
Position: Data Engineer (AWS + Databricks) Location: Singapore Experience: 4 to 8 Years Key Skills Required Strong hands-on experience with Databricks Expertise in PySpark and Spark SQL Good experience with AWS Cloud…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
