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 AI solutions by translating business needs into technical architectures, selecting platforms/models, and ensuring privacy/security compliance.
Data Engineer II at PlayStation working on cloud streaming data pipelines, developing stream processing jobs with Flink, supporting Kafka migration to cloud, and implementing scalable ETL pipelines in a remote role.
The Senior Data Platform Engineer & Cloud Architect will design and optimize AWS-based data platform architectures, manage CI/CD pipelines, and implement infrastructure as code. The role involves leading technical initiatives, mentoring team members, and ensuring the scalability and reliability of data workflows using tools like Python, Airflow, and Terraform.
- Analyze sales performance - Build predictive models - Clean and explore data - Conduct data mining - Create dashboards - Design reports - Develop database platforms - Ensure data integrity - Identify patterns - Map…
- Analyze business requirements and develop software solutions - Explore artificial intelligence opportunities in existing software systems - Investigate AI supported software development approaches - Support further…
Data Scientist developing condition monitoring models, building data pipelines, applying statistical methods, managing Power BI dashboards, and integrating AI into analytics workflows.
Working student supporting BI and data science by building Power BI reports, creating ETL pipelines, managing data warehouses, and writing SQL queries for a German embedded computing company.
Working student role focused on building ETL pipelines, maintaining a data warehouse, developing Power BI reports, and writing SQL queries to support business intelligence and data science at congatec.
The Data Analytics Developer builds and maintains Power Apps solutions, Power Automate workflows, and Power BI dashboards to automate business processes and deliver data visualizations. The role also involves managing project schedules, conducting user testing, and creating technical documentation.
- Automate ML lifecycle training evaluation deployment monitoring - Automate proof of value tooling and metrics - Design auditable model configuration and releases - Detect fraud attacks and adjust score calibration -…
The AI Data Engineer will build and manage data pipelines, lakehouse architectures, and governed datasets to support AI agents and Power BI reporting. The role focuses on data ingestion into Azure services, ensuring data quality, and managing PII security.
Leads data science experimentation for insurance underwriting/claims, designing experiments, building analytic models, and mentoring teams to drive data-driven business decisions.
Design and develop embedded software in constrained environments, applying OS scheduling and synchronization, state machines, asynchronous event handling, and networking integration.
Develops embedded software solutions, focusing on OS concepts, state machines, and networking for real-time device integration.
Lead Data Analyst focused on marketing performance, analyzing conversion metrics across paid channels, connecting Salesforce data, building executive reports, driving analytics strategy, and modeling SEM payback in a remote LATAM role.
Senior Electrical Engineer leading embedded product development projects, designing hardware and firmware, creating test plans, and supporting production and regulatory compliance.
The Senior Data Developer will manage the data platform lifecycle, orchestrate ETL pipelines, and design event-driven data solutions to improve analytical consumption. The role focuses on optimizing data infrastructure, ensuring data quality, and managing platform technology and APIs.
Senior Data Analyst focused on designing MarTech data collection solutions, configuring A/B tests, customer journey surveys, and tags, while providing CRO optimization consulting to stakeholders.
Lead the Human Capital data engineering function at KKR, building ingestion frameworks, data pipelines, and cloud-aligned governed engineering patterns while managing teams and modernizing legacy data environments.
Data Engineer building and automating data pipelines, assembling complex data sets, and creating data tools for data scientists at a payroll/HR services company.
We couldn't check your fit for this role — add a CV to your profile to see it next time.