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.
This Senior Data Engineer role involves building data-quality frameworks and high-throughput pipelines for fraud detection and AML systems within a European fintech company. The position requires deep domain expertise in transaction monitoring and strong Python skills to support automated decision engines.
The Data Engineer will design, implement, and maintain scalable data pipelines and ETL processes within Azure and Databricks environments. The role involves collaborating with cross-functional teams to build big data solutions and ensure high-quality data standards.
The Junior Data Engineer will join the AI Markets team to develop and optimize kdb+ time-series databases, building analytic layers and APIs for traders and quants. The role involves working with large datasets, performance tuning, and integrating data with AI/ML workflows.
The Data Engineer will migrate and modernize ETL processes and Oracle data structures to Azure using Microsoft Fabric, while developing analytical models in PowerBI. The role requires advanced Python and SQL skills, experience with Azure cloud services, and the ability to work in a hybrid model in Warsaw.
Cyrantos is partnering with a leading asset management firm to find a highly experienced Senior Data Engineer to join their team. This is a remote position with a start date as soon as the candidate successfully…
Data Engineer designing and maintaining real-time data pipelines on GCP for a streaming platform, using Terraform, Kubernetes/GKE, and observability tools.
Build and orchestrate production-grade data pipelines and Data Lake/DWH solutions on Google Cloud Platform using Python, SQL, BigQuery, and Airflow in a hybrid role based in Kraków.
Senior Data Engineer designing scalable backends and data pipelines within a microservices architecture, using Java, C#, Go, or Python with Airflow/ETL in cloud environments.
Senior Data Engineer builds and maintains scalable fraud and AML data pipelines in Python to power real-time decision engines.
Senior Data Engineer builds and optimizes Google Cloud data pipelines, focusing on BigQuery, SQL, and Python to support financial-sector data transformation.
Data Engineer designing and implementing data pipelines using Data Factory, PySpark, and Microsoft Fabric, collaborating with business teams and the Risk Unit in a hybrid role in Warsaw.
Data Engineer maintaining and evolving a Microsoft Fabric platform, building bronze/silver/gold medallion-architecture pipelines and data models using PySpark and Spark SQL.
Data Engineer building and maintaining ELT pipelines and data warehouses using AWS (S3, Redshift), dbt, Airflow, and SQL.
This role involves leading end-to-end data engineering initiatives to support AI use cases, including building ELT pipelines and maintaining dbt models. The position requires extensive experience with Snowflake, Azure, and Python to deliver scalable analytics datasets.
Build and maintain scalable data pipelines for corporate lending using Python, PySpark, and SQL to transform data into analytics and insights.
The Lead Data Engineer will design and develop scalable data platforms on GCP, building batch and streaming pipelines while providing technical leadership and mentorship to the team. The role requires extensive experience with big data technologies like Spark, Hadoop, and cloud-based data architecture.
The Senior Data Engineer will design and develop scalable backend systems, microservices, and data pipelines to support business processes. The role involves building reliable integrations and optimizing data workflows using technologies like C#, Java, Go, or Python.
Senior Data Engineer at The Codest, developing and automating tools for a major European e-commerce platform's Data Platform. Tech stack: Python (primary), JVM languages, GCP (BigQuery, Composer, Dataproc, Cloud Run), SQL, PySpark, Docker.
The Data Engineer will work on migrating and modernizing data and analytics processes using Google BigQuery, Dataform, and Python. The role involves collaborating with teams to improve data pipelines and implement best practices.
The Data Engineer will design and implement batch and streaming data pipelines using Spark and Python. The role involves building ETL/ELT processes and collaborating with data teams to ensure data quality and performance.
We couldn't check your fit for this role — add a CV to your profile to see it next time.