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.
Build and optimize cloud-native data pipelines using Databricks, Azure Data Factory, Spark, Delta Lake and MongoDB to turn raw data into scalable, production-grade analytics platforms.
Senior Data Engineer builds and maintains BigQuery data marts, validates digital marketing data (GA4, Segment, CRM), and prepares clean datasets for AI/ML models in a telecom company.
¡Bienvenido/a a Bosonit ! 😊 En Bosonit somos una consultora tecnológica especializada en la transformación de Datos e IA. Nuestra misión: hacer que los datos correctos estén disponibles para un consumo rápido por…
🚀 We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great…
Build and maintain cloud-based ETL pipelines for a major automotive client using Python, Airflow, and Snowflake to feed production analytics.
We are looking for a Senior Data Engineer to join a highly collaborative data team working on modern cloud-native projects with real business impact. You would be involved in designing and building scalable AWS-based…
Build and maintain scalable data pipelines, ETL/ELT processes, and AI-driven integrations using Python, SQL, Airflow, and Snowflake to support business analytics and automation.
Build and maintain secure AWS-based data platforms for UK public-sector programmes using Terraform, Spark, Airflow, and CI/CD pipelines.
Build and maintain scalable data pipelines, ML infrastructure, and MLOps workflows on Google Cloud to power Tekever’s AI-driven surveillance and decision-support systems.
Builds and maintains data pipelines, models, and APIs for a grid-planning platform that unifies messy energy datasets and enables AI-assisted grid operations.
Build and maintain data pipelines, models, and APIs for an AI-powered grid-planning platform, handling messy energy datasets and enabling reliable infrastructure decisions.
Designs and scales cloud-based data platforms for batch and real-time analytics, building pipelines and streaming architectures using AWS/GCP/Azure, Spark, Kafka, and Python.
Lead a team to design, build, and deploy production-grade data pipelines and AI-enabled solutions on cloud platforms like Databricks, Snowflake, or AWS, using DataOps practices and modern orchestration tools.
Lead a team to build and manage a cybersecurity data platform using Python, Azure, Spark, and Kubernetes, enabling threat detection, analytics, and GenAI workflows.
Lead the design and operation of secure, high-throughput financial data pipelines in AWS, ensuring resilience, scalability, and compliance for batch and real-time workloads.
Leads design and development of secure, scalable cloud-based data pipelines and platforms (Azure/AWS/GCP) for enterprise analytics, AI, and BI, ensuring compliance with security standards in a hybrid role (3 days onsite in Reading).
Build and tune Snowflake-based data platforms, automate ETL/ELT pipelines with Airflow or Dagster, and manage cloud infrastructure using Terraform for a global financial-services firm.
Builds and automates data pipelines for an iGaming platform using SQL, DBT, Snowflake, AWS, Airflow, and Python.
Build a centralized data platform using Python, PySpark, and AWS services to store and process event data, enabling large-scale marketing campaigns.
Build and own the data pipeline for a hedge-fund’s Industrials portfolio, cleaning and transforming market data, automating ETL/ELT, and enabling analysts with Python, SQL, and AWS.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
