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 Data Engineer will design and build scalable data pipelines and cloud-based data solutions on AWS to support advanced analytics and business use cases. The role involves modeling data, integrating various sources, and collaborating with cross-functional teams to ensure data quality and performance.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
The Data Quality Assurance Engineer will validate high-volume datasets, test ETL processes, and ensure data integrity within Google Cloud Platform environments. This is a 3-month contract role requiring strong SQL skills and experience with data orchestration tools.
Senior Data Engineer designing and optimizing large-scale batch and real-time data pipelines in the cloud using PySpark, Kafka, and AWS services within an agile data cell.
The Senior Data Engineer will architect and scale a modern data platform by designing ETL/ELT pipelines and implementing DataOps practices. The role involves orchestrating data flows using tools like Airflow, Prefect, or Dagster and optimizing Snowflake schemas.
Build and evolve an internal Data+ platform at Nubiral, designing reusable data capabilities, ETL pipelines, and self-service tooling on AWS while incorporating generative AI, LLMs, and RAG to automate data engineering tasks.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
DevOps engineer deploys and maintains Kubernetes clusters, automates CI/CD pipelines, and sets up monitoring for AI and data services using Terraform, GitLab CI, ArgoCD, Prometheus, and Grafana.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Designs and maintains scalable data pipelines and warehouses for a cloud-based AI-driven business planning platform, using BigQuery, Databricks, Airflow, and Python.
Build ML models and pipelines for enterprise scenario planning, integrating time-series forecasting and demand sensing into Anaplan’s AI-infused platform.
Software engineer building data platform infrastructure, APIs, and governance tools for Singapore's Whole-of-Government data programme, using cloud services (AWS/GCP), containers (Docker/Kubernetes), and data processing frameworks (Spark, Kafka).
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using distributed systems, Apache Airflow, Kafka, Spark, and Databricks. The role involves designing scalable data pipelines and supporting data scientists in deploying ML models on cloud and on-premises infrastructure.
The Senior Data Engineer will design and maintain scalable cloud-native data pipelines and Data Lakehouse architectures to support evidence-based decision-making. The role involves leveraging modern data engineering tools like Python, SQL, Spark, and Kafka while implementing infrastructure as code and MLOps practices.
The Lead Data Engineer builds and maintains custom data ingestion and MLOps platforms using open-source technologies like Apache Airflow, Kafka, and Spark. The role involves designing scalable data pipelines on Databricks and supporting data scientists in deploying machine learning models at scale.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
Mid-level Data Engineer building and maintaining scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and cloud platforms (Azure/AWS/GCP) at an engineering services firm.
Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines,…
Moreton Capital Partners is hiring a DevOps Engineer to manage and scale cloud infrastructure, CI/CD pipelines, and monitoring systems for their systematic commodities trading platform. The role involves using AWS, Terraform, Python, and Docker to support production reliability and automate engineering workflows.
We couldn't check your fit for this role — add a CV to your profile to see it next time.