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 scale a real-time data streaming and threat-detection platform for cloud enterprises, using Python, AWS, Kafka, and cloud-native data formats.
Designs and maintains scalable data pipelines and warehouses to power analytics and AI at a digital healthcare company, using Python, SQL, AWS, and Airflow.
Ingénieur(e) de données Location: Montreal, Canada Department: Data Engineering Pour la version anglaise de cette description de poste, veuillez consulter le lien suivant / For the English version of this job…
Senior Analytics Engineer to migrate legacy data warehouse to a Databricks Lakehouse, modeling domain-specific marts in the gold layer and coordinating cutover waves with BI teams.
Senior Data Engineer builds and maintains large-scale ETL pipelines at Tatari, transforming raw TV advertising data into production-grade datasets for reporting and measurement using Python, Spark, and Databricks.
Build and optimize scalable data pipelines for Wise’s finance team using Trino, Iceberg, and Kafka to process millions of financial events daily into audit-ready reporting layers.
Lead Data Engineer Primary Skills AKS, Event Hub, Azure DevOps, Azure sentinel, Cosmos DB, Azure Functions Specialization Azure Data Engineering Advanced: Senior Lead Data Engineer Job requirements Experience Range:…
Builds and maintains a no-code data platform that lets enterprises ingest, transform, and monitor supply-chain data without writing code, using Python/Go/TypeScript and distributed engines like Spark/Flink.
Builds and scales the backend infrastructure and distributed systems that power Databricks' data and AI platform, working with Java, Scala, or C++ on cloud technologies like AWS, Azure, or GCP.
Builds and maintains Databricks' backend infrastructure and serverless platform, focusing on distributed systems, cloud technologies, and security for big data and AI workloads.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud technologies, and security to support large-scale data workloads.
Salary: $1232 Senior Data Architect $1100 + super per day 12 months contract Parramatta | Hybrid Working Databricks | Azure | AI & Analytics Ready to influence the future of enterprise data? We're looking for a…
Designs and maintains large-scale data pipelines and models for a TV and streaming advertising platform using Python, SQL, Spark/Databricks, and Redshift.
Senior Data Engineer builds and maintains scalable Databricks pipelines to move customer data into marketing platforms like Braze and mParticle, enabling real-time personalization for enterprise clients.
Builds and maintains a next-gen financial data lakehouse using Kafka, Databricks Delta Lake, and Flink CDC for real-time trading, market, and customer data pipelines in a securities firm.
Senior engineer to build and ship AI-ready data infrastructure, including an open governed context layer and retrieval systems, using Java, Python, React, and cloud-native tools.
Builds automated testing frameworks for customer data ecosystems, validating data pipelines, CDP integrations, and privacy compliance across platforms like Databricks, mParticle, Braze, and OneTrust using SQL and Python.
Senior Data Engineer designs and builds scalable data pipelines on Databricks using Spark and Delta Lake, collaborating with cross-functional teams to deliver analytics and ML solutions for enterprise clients.
Senior Data Engineer builds and scales cloud-native data pipelines and analytics platforms for global supply chain risk management using Databricks, ClickHouse, Python, and Azure, while partnering directly with enterprise customers to deliver data solutions.
Build and maintain the central data platform for a new digital bank, designing pipelines to ingest banking data, apply business logic, and serve downstream systems for reporting and risk management using cloud-based tools like AWS, Databricks, and dbt.
We couldn't check your fit for this role — add a CV to your profile to see it next time.