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.
Builds and configures data delivery solutions for clients using IQVIA's DaaS platform, translating business needs into scalable workflows and database integrations.
Lead a team to design, build, and optimize data pipelines and warehouses using Python, AWS, Spark, Kafka, SQL, Snowflake, and Databricks to deliver hyper-personalized marketing experiences at scale.
Owns the EDW and reporting roadmap for finance and supply-chain data, gathering requirements, modeling data, and delivering dashboards in tools like Power BI or Tableau.
Build predictive maintenance models and data architectures for a nuclear weapon system using Python, AWS, and ML to forecast component lifespans and reduce lifecycle costs.
Builds scalable data platforms and pipelines to track software performance, development lifecycle, and customer adoption for Intuit’s products, enabling AI/ML-driven insights and cross-functional decision-making.
Agency: Credera Job Function: Consulting Job Subfunction: Technology Consulting Job Description: Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI…
Build and scale data pipelines and infrastructure for a hyperlocal marketplace, transforming raw events into actionable insights using dbt, Dagster, Redshift, and Superset.
Designs and scales data pipelines and warehouses to power analytics and decision-making for a live-shopping marketplace, using cloud warehouses, dbt, Airflow, and Kafka.
Designs and scales data pipelines and analytics infrastructure for a B2B cannabis platform, using tools like Airflow, dbt, Python, Redshift, and AWS.
About the role The Data Engineer is responsible for building and maintaining the data pipelines, storage systems, and processing workflows that power reporting, analytics, and downstream applications across company…
Leads the architecture and modernization of data platforms for banking clients, using Python, microservices, and modern data stack (dbt, Redshift, orchestration) while guiding teams through legacy and cloud environments.
Why join us? Mitti by SafetyCulture is a global tech company, just not the kind you're picturing. Our almost 1,000-person team builds tools that make work better for the three billion frontline workers who keep the…
Location: Mumbai,Maharashtra,India LogiNext is looking for a passionate Software Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role…
Designs brand-aligned visuals and user experiences for a fintech platform used by millions, collaborating with growth teams to create cohesive 2D/3D assets across digital and print media.
Builds and operates a real-time data platform for a Middle East e-commerce/social marketplace, integrating behavioral analytics, AI-driven personalization, and marketing automation to drive growth and customer engagement.
Lead a data engineering team building scalable pipelines and ML feature stores on GCP for a fintech that funds small businesses globally, ensuring reliable data for analytics and AI-driven credit decisions.
Builds and maintains trusted financial data models and dashboards for a BNPL fintech, turning raw data into self-service analytics that Finance teams use to track revenue, provisioning, and profitability.
Designs and delivers cloud-based data pipelines and warehouses for Fortune 500 clients, using Snowflake, Databricks, and ETL tools while collaborating with stakeholders and mentoring teams.
Build and maintain high-quality data models and quality rules to ensure accurate financial data for a UK-focused fintech platform, using dbt, SQL, and data testing tools.
The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement…
We couldn't check your fit for this role — add a CV to your profile to see it next time.