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.
Celestar Corporation is seeking a Mid-level Data Engineer (OBI Advanced Analytic Method Augmentation) to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA)…
Adecco Italia Profilo Per conto di un'importante realta industriale internazionale, parte di un gruppo con Headquarters in Svizzera , siamo alla ricerca di un/una Data Engineer & Data Analyst . La figura…
The Lead Data Engineer will design and maintain a cloud-based Finance Data Platform, managing data pipelines, ETL frameworks, and governance for financial datasets. The role involves collaborating with cross-functional teams to support advanced analytics using technologies like Python, SQL, Databricks, and cloud infrastructure.
Lead Software Engineer on J.P. Morgan's Electronic Trading Technology team in Singapore, building high-performance data processing and AI-enabled analytics pipelines for real-time trading using Python or KDB/Q.
Roles & Responsibilities Responsibilities Design and build backend services using Python and FastAPI Develop, test, and deploy GenAI applications in a production setting Build and maintain LLM pipelines (e.g.,…
Senior Java Backend Engineer building mini Java processes in a BPMN engine and delivering end-to-end mobile/web applications in an Agile/TDD environment for a FinTech consumer products team.
Lead Data Platform Engineer owning the technical roadmap for data infrastructure, overseeing ETL architecture, data governance, and mentoring a squad of engineers to deliver digital products.
Design and develop a corporate BI platform, leading ETL/ELT pipelines from SAP ECC6 (HANA 2) and Epicor SQL Server 2019 to build a scalable data warehouse and analytics repository.
Build AI/ML solutions, computer vision apps, generative AI/LLM applications, Python backends, data pipelines, and dashboards, deploying across cloud and edge environments in Cikarang, Indonesia.
A Data Engineer who designs, builds, and maintains data pipelines and systems that power products and analytics. Works with architects, analysts, and developers to transform raw data into meaningful insights using technologies like SQL, Python, ETL tools, and big data frameworks.
The Data Engineer will design, build, and maintain data pipelines and backend APIs to support analytics and product development in the public sector. The role requires proficiency in SQL, pandas, and R to transform raw data into scalable insights.
Data/Integration Engineer designing, building, and maintaining scalable real-time data pipelines using NiFi and Kafka, with SQL optimization in Impala/Hive on Cloudera CDP/CDH and Docker/Kubernetes deployments.
ETL specialist performing extract, transform, load operations, data modeling, and data quality query testing on large datasets, while monitoring ETL processes and defining data migration best practices.
This internship role involves assisting with user onboarding for Elasticsearch and BI tools, processing anomaly logs, and supporting the creation of data dashboards for business decision-making.
Design, implement, and maintain IT infrastructure and data platforms—including servers, storage, virtualization, networking, cloud, and ETL/ELT data pipelines—while ensuring high availability, security, and performance for business stakeholders.
Design, build, and optimize data pipelines and models for BI and analytics in a cloud environment, collaborating with cross-functional teams in Jakarta.
Data analyst developing and maintaining SQL queries for data extraction, transformation, and analysis, creating dashboards and reports for stakeholders, and collaborating with cross-functional teams in Indonesia.
Senior Data Engineer building batch, real-time, and event-driven ETL pipelines on AWS using Flink, Airflow, Spark, Kafka, and Trino for Grab's Lending Data Engineering team in Jakarta.
The Data Architect/Engineer will own and operate an AWS-based data hub and Customer Data Platform, managing end-to-end data ingestion, identity resolution, and cross-cloud pipelines between Azure and AWS. The role involves building ETL pipelines, ensuring data security and compliance, and collaborating on BI reporting and AI-driven personalization.
The Data Engineer will manage large datasets, automate data pipelines, and build BI dashboards using tools like Looker, Power BI, or Tableau. This is a one-year contract role focused on supporting business decision-making through data quality and reporting.
We couldn't check your fit for this role — add a CV to your profile to see it next time.