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.
Senior Data Analyst/Engineer for an automotive client, designing dashboards and KPIs for manufacturing/quality/R&D teams while building and maintaining ETL/ELT pipelines using SQL, Python, Power BI, Databricks, and Azure data services.
Build data pipelines and expert Power BI dashboards for banking, insurance, industry, and public sector clients in Suisse Romande, using SQL, dbt, Microsoft Fabric, Databricks, Snowflake, and Azure.
Build and maintain data pipelines, warehouses, and reporting systems for a GovTech platform serving government agencies and residents.
The Sales Data Analyst will support the Business Development function by tracking and analyzing key sales metrics, managing data marts, and providing actionable insights to stakeholders. The role requires advanced SQL, data visualization, and data pipeline automation skills to drive data-informed decision-making.
Builds analytical solutions and data pipelines to transform business needs into actionable insights, focusing on data quality, KPIs, and ML models using Databricks, PySpark, and SQL.
Develops a sovereign cloud-based Data & AI platform, extending system architecture, integrating open-source projects, and building REST APIs/Kubernetes operators for customer service lifecycle control. Core tech: Go, Kubernetes, cloud, Kafka, Spark, Airflow, Dremio.
A freelance Data Engineering consultant leads end-to-end project phases (requirements, analysis, migration, Go-Live) for international cloud-based data solutions, focusing on AWS, PySpark, Python, SQL, and Airflow pipelines while ensuring data quality and reliability.
Designs and maintains scalable data pipelines on Azure, automating ingestion, cleansing, and transformation while ensuring data quality and security for an international project.
Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Data Engineer designing and building data pipelines with PySpark, Python, SQL, and AWS, orchestrated via Airflow and containerized with Docker/ECS, based on-site in Madrid for a 12-month contract.
Builds and maintains data pipelines (Airflow, ETL) for a pharma loyalty-tech firm, integrating real-time pharmacy sales data with AI/ML to drive predictive insights and personalized promotions.
Builds and maintains scalable cloud data infrastructure and pipelines for a fintech company using AWS, Kubernetes, and data tools.
Data Engineer building scalable, secure data storage and database platform solutions on AWS using Docker, Kubernetes, Terraform, dbt, and Airflow within N26's Platform Engineering team.
Senior Backend Spark Developer designing and optimizing Big Data pipelines on Azure Databricks using Apache Spark (Scala/Python) and SQL within a multinational digital technology services company.
Builds and maintains data pipelines to ingest, transform, and serve large-scale economic/industrial datasets for an AI system forecasting global business impacts.
Designs and implements scalable cloud data platforms on Azure/Microsoft Fabric, building ETL/ELT pipelines and ensuring data quality for large datasets while leading technical decisions and collaborating with stakeholders.
Designs and optimizes scalable ETL/ELT and real-time Kafka pipelines in Snowflake for a cloud-based platform, ensuring data integrity and performance while collaborating with cross-functional teams.
Data Platform Engineer supporting and maintaining data pipelines, ETL/ELT processes, and data platform infrastructure using SQL, Apache Spark, Python/Scala, and AWS cloud services in a remote role based in Portugal.
The Senior Data Platform Engineer & Cloud Architect will design and optimize AWS-based data platform architectures, manage CI/CD pipelines, and implement infrastructure as code. The role involves leading technical initiatives, mentoring team members, and ensuring the scalability and reliability of data workflows using tools like Python, Airflow, and Terraform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.