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 and optimize Snowflake-based data platforms for a medical device company, ensuring compliance with healthcare regulations and enabling analytics and AI/ML use cases.
Builds and maintains the data core of an in-house marketing platform that unifies customer data, runs segmentation, and powers personalized campaigns using SQL, ETL/ELT pipelines, and column-oriented databases.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Cloud) based in Spain. This role offers the opportunity to…
Senior Data Engineer building and automating ETL/ELT pipelines on AWS, designing data lake architectures, developing QuickSight dashboards, and partnering with cross-functional teams to improve data governance and management insights.
The Senior Data Engineer will build and maintain cloud-based data pipelines and Lakehouse architectures to support RTÉ's data-driven decision-making. The role involves working with Microsoft Fabric, SQL, and Python to deliver high-quality datasets while contributing to data governance and platform architecture.
The Senior Data Engineer will design and maintain data architecture, build automated ETL/ELT pipelines on AWS, and develop interactive dashboards using QuickSight. The role involves collaborating with cross-functional teams to manage data ingestion and reporting infrastructure.
Design and build Microsoft Fabric lakehouses, warehouses, and Power BI datasets for enterprise analytics, using Python, SQL, and medallion architecture.
As a Lead Business Analyst, you will play a key role within the Business Analysis competency, partnering with business and technology stakeholders to drive data-driven decision making, process optimization, and…
The SAP Data Engineer will design and maintain data pipelines connecting SAP systems (ECC, S/4HANA, BW/4HANA) to cloud-based data platforms. The role involves building ETL/ELT architectures, optimizing data integration, and leveraging Python, SQL, and AWS cloud services to support enterprise reporting and analytics.
The Data Engineer will build and maintain data pipelines for fintech analytics and reporting, working with transactional systems and customer tools. The role requires proficiency in SQL, Python or Java, and messaging technologies like Kafka or Rabbit MQ.
Arbor Academy is seeking an Azure Data Engineering Trainer to deliver classroom-based instruction on cloud data architecture, ETL workflows, and big data processing. The role involves mentoring students, conducting hands-on labs, and maintaining training content using technologies like Azure Data Factory, Databricks, and PySpark.
Data Engineer building scalable data pipelines and ETL workflows on-site in New Zealand, using Apache Airflow, Spark/PySpark/Scala, Databricks, Docker, and Advanced SQL.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data transformation workflows using Microsoft Fabric and PySpark. The role involves working with large-scale datasets to support enterprise analytics and business intelligence initiatives.
The Junior Data Engineer supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets for mission-critical environments. The role requires proficiency in Python, SQL, and big data platforms like Spark or Databricks while working on-site in a secure facility.
The Senior Data Engineer will design and build scalable data platforms, high-performance pipelines, and real-time ingestion frameworks using PySpark and Databricks on Azure and AWS.
The Senior Data Engineer will design and implement advanced data pipelines using Databricks, PySpark, and Python. This role requires 6-8 years of experience and involves working with Delta Lake and Lakehouse architectures in a client-facing, office-based environment in Singapore.
Position: Data Engineer (AWS + Databricks) Location: Singapore Experience: 4 to 8 Years Key Skills Required Strong hands-on experience with Databricks Expertise in PySpark and Spark SQL Good experience with AWS Cloud…
Data Engineer on GCP designing, building, and optimizing scalable data pipelines and solutions using BigQuery, Dataflow, ETL/ELT, and Power BI dashboards for business insights.
ПриватБанк — є найбільшим банком України та одним з найбільш інноваційних банків світу. Займає лідуючі позиції за всіма фінансовими показниками в галузі та складає близько чверті всієї банківської системи країни. Ми…
The Data Engineer will build and maintain data pipelines and ETL/ELT workflows while optimizing data models for analytics. The role involves working with Spark, AWS, and various data storage technologies to support the company's software supply chain security platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
