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.
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,…
Senior Data Engineer builds and optimizes data pipelines, extends ML platforms, and mentors junior engineers using Python, SQL, and AWS to power analytics and lending products at a digital finance company.
Designs and maintains scalable AWS cloud data pipelines, ETL/ELT workflows, and ML integrations using PySpark, AWS Glue, and SageMaker while automating infrastructure with Terraform/Opentofu.
Data Engineer building AWS Glue-based ETL pipelines to ingest data from heterogeneous sources into Amazon S3 and process it across a medallion lakehouse architecture, using PySpark, Python, and SQL.
The Java Developer will build and maintain RESTful APIs and data pipelines for a major investment client using Java, Spring Boot, and various AWS services. The role requires working from the Campinas office three days a week and collaborating with international teams on regulatory-compliant financial solutions.
The Data Engineer builds and maintains data pipelines and knowledge repositories to prepare structured and unstructured data for Generative AI and RAG-based solutions. The role ensures data accuracy, governance, and quality across enterprise systems to support reliable AI-driven business decisions.
As the first dedicated data engineer, you will architect and own the full data stack, including ingestion, transformation, and warehouse infrastructure for a real-money gaming platform. You will work with Python, SQL, dbt, and orchestration tools to build reliable pipelines that support quantitative strategy and production systems.
Lead AWS-based data platform engineering for credit risk models at Commonwealth Bank, focusing on cloud-native architecture, ML workloads via SageMaker, and large-scale data pipelines.
The Senior Data Engineer will design, develop, and maintain enterprise data integration solutions and ETL processes for a Federal Government entity. The role requires hands-on development, technical leadership, and proficiency in cloud platforms like AWS and data warehousing technologies.
Senior Data Engineer designing and building scalable end-to-end data pipelines on AWS using Glue, PySpark, Python, S3, Athena, Redshift, and Airflow.
Data Engineers will design and build ingestion pipelines and data transformations on Snowflake and AWS for a university's HR data transformation program. The role involves working with Talend and adhering to established architectural frameworks to deliver governed data solutions.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
Data Engineer Position Hire Resolve is currently seeking a highly skilled Data Engineer to join their client's internationally based team. Their Data Engineer will be based in Cape Town with the Data Team, who work…
The Lead Data Engineer will design, maintain, and enhance Liverpool FC's enterprise data platform and warehouse using AWS technologies like S3, Redshift, and Glue. The role involves technical leadership, mentoring offshore teams, and building scalable data pipelines and APIs using Python and SQL.
Business Analyst driving Country Road Group’s AWS-based data platform, translating business needs into analytics solutions and ensuring data quality and governance across retail brands.
Builds and maintains scalable data pipelines, optimizes storage/retrieval systems, and collaborates with teams to integrate data solutions using Python, SQL, and cloud infrastructure.
Design and optimize SQL-based datamarts and data pipelines on cloud platforms like Snowflake, BigQuery, or Redshift to power business intelligence in an agency setting.
Build and maintain trusted, well-modeled datasets in BigQuery using dbt to power analytics and ML across a fintech platform, ensuring data correctness and collaborating with engineers and stakeholders.
We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from…
Back-end developer focused on data engineering, warehousing, and BI analytics, building ETL/ELT pipelines and working with cloud data warehouses like Snowflake, Redshift, and Azure Synapse.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
