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.
The Cloud Data Engineer designs and implements scalable end-to-end cloud data platforms and pipelines for diverse clients. The role involves working with modern big data technologies like Spark, Databricks, and Snowflake while utilizing DevOps and IaC practices.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
The Data Analytics Engineer will build and maintain data pipelines and visualisations using Python, SQL, AWS, and Thoughtspot to support business decision-making at easyJet holidays. This role involves collaborating with stakeholders to develop data products and mentoring team members within a hybrid work environment.
The Data Platform Engineer will design and build scalable data pipelines, analytics platforms, and data warehouse solutions to support game infrastructure. The role requires strong data engineering expertise and the flexibility to contribute to backend, infrastructure, and SDK development.
The Principal Data Solutions Architect provides strategic and technical leadership for client data projects, designing scalable cloud-based data architectures and roadmaps. The role involves leading delivery teams, mentoring staff, and supporting business development using technologies like Azure, AWS, Snowflake, and Databricks.
Senior Data Engineer on a 6-month defence contract, building data solutions with AWS (S3, Glue), Apache Airflow, and Tableau, inside IR35.
Job Description About the Role: The Data Engineer will work on enterprise-wide data provisioning, spanning multiple data governance domains and data assets. Responsibilities include ensuring secure data sharing,…
Design, develop, and maintain Power BI dashboards and reports using DAX and Power Query, write SQL queries, and support AWS Glue data pipelines to deliver BI insights across Operations, Finance, Logistics, and Corporate Services.
Builds and maintains enterprise data pipelines, warehouses, and analytics platforms to transform raw financial data into actionable insights for Sun Life’s mutual funds and insurance products, collaborating with stakeholders to ensure data integrity and governance.
The DevSecOps Engineer will secure the company's AWS-hosted SaaS platform by managing vulnerability programs, responding to security incidents, and embedding security practices into the CI/CD pipeline. The role focuses on maintaining HIPAA, SOC 2, and HITRUST compliance while collaborating with engineering teams to harden cloud infrastructure.
A senior data engineer manages Databricks, Snowflake, and Redshift environments to build, optimize, and maintain end-to-end data pipelines using Python, SQL, PySpark, and Airflow, while handling Adobe data feeds and ensuring reliable data governance and workflow orchestration.
Implement technical data governance—cataloging, quality, security, lineage—on an AWS-based platform using Lake Formation, Glue, Spark, Delta Lake, and Kafka, bridging engineering, compliance, and business teams.
Data Engineer designing and operating high-performance streaming and microservices architectures on AWS, primarily using Apache Kafka/MSK, Java/Spring Boot, and CI/CD pipelines.
Lead the design, build, and deployment of production data and AI solutions using Palantir Foundry and AIP, working directly with enterprise clients in a consulting capacity.
The Data Engineer provides L2/L3 operational support for enterprise data platforms, focusing on troubleshooting Databricks environments, ETL/ELT pipelines, and cloud-native services on AWS or Azure. The role involves incident management, performance monitoring, and automation to ensure the reliability of data processing systems.
Data Engineer building and maintaining scalable batch and real-time data pipelines for an IoT-enabled worker safety platform, using AWS data services, Python/SQL/Java/Scala, Kafka, Terraform, and AWS Glue.
Build and scale data infrastructure and ETL pipelines in Python/PySpark to power analytics and data products for a global storytelling platform.
Data Engineer focused on Master Data Management, building and maintaining ETL/ELT pipelines into Snowflake, enforcing data quality, and managing Golden Records for a fleet management company's enterprise data platform.
LT Data Integration Engineer En Ready Buscamos un(a) LT Data Integration Engineer con experiencia en el diseño, desarrollo y operación de soluciones de integración de datos empresariales utilizando Informatica…
As a Senior Data Solutions Architect at Seriös Group, you will provide strategic and technical leadership across the data lifecycle, helping clients realise value through data strategy, governance, cloud platforms,…
We couldn't check your fit for this role — add a CV to your profile to see it next time.