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.
Senior Data Engineer builds and optimizes Snowflake-based data platforms using dbt, Airflow, and Data Vault 2.0 to power analytics and BI pipelines.
Build and maintain scalable data pipelines and models in Databricks to power analytics and ML, using Python, SQL, and Spark while mentoring peers.
Build and maintain enterprise-scale HealthTech apps using .NET Core, Angular, and Azure, collaborating with cross-functional teams to deliver scalable, secure solutions.
Build and maintain automated data pipelines, model corporate data in Snowflake, and create department-specific views to power analytics for Finance, HR, IT, and Operations.
Build and maintain GCP-based data pipelines and services in Python (Flask) to power customer analytics, using Terraform and CI/CD for secure, scalable deployments.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI reports for enterprise clients.
Design and deploy end-to-end data analytics solutions on Azure and Microsoft Fabric, building modern data platforms, ETL pipelines, and Power BI reports for enterprise clients in finance, healthcare, mobility, and climate sectors.
Leads end-to-end Microsoft Fabric and Azure Data architectures for clients, designing pipelines, governance, and analytics solutions while mentoring teams and delivering training.
Lead Data Engineer building scalable, reliable data pipelines in Snowflake using SQL, Python, and DataOps practices to ensure high-quality, observable data flows for analytics and reporting.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, including ETL pipelines, data lakes, and Power BI dashboards.
Lead Data Engineer building scalable, reliable data pipelines in Snowflake using SQL, Python, and DataOps practices to ensure high-quality, observable data flows for analytics.
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Design and build robust cloud data architectures on Microsoft Fabric and Azure for enterprise clients, from ingestion to production, using Data Vault 2.0, Azure Data Factory, Synapse, and Data Lake.
Lead a modern enterprise data platform using Snowflake and dbt, designing ELT pipelines, optimizing SQL, and guiding teams to deliver reliable, business-impactful data solutions.
Senior Data Engineer builds and optimizes Snowflake-based data platforms on AWS, designing pipelines, transformations, and CI/CD workflows to industrialize modern data solutions.
Builds and optimizes scalable data pipelines for a Madrid-based bank, using Spark, Scala, Python, Airflow, and cloud migration from Hadoop.
Build and scale cloud data pipelines for clients using Azure, AWS, or GCP, ingesting and transforming data with Spark, Airflow, and Kafka to make it analytics-ready.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Build and maintain cloud infrastructure as code (Terraform), automate CI/CD pipelines, and run Kubernetes-based platforms with security and observability tooling.
Build, deploy and automate cloud-native platforms using Kubernetes, Terraform and GitOps; modernize e-commerce microservices and embed AI workflows with tools like Argo CD, Prometheus and SFEIR’s internal GenAI platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
