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Lead, Data and AI Engineer
Lead a team building and operating cloud-native data platforms on AWS to power AI/ML and analytics, using Python/Node.js, CI/CD, and IaC while ensuring security and cost efficiency.
Cloud Data Engineer for AI-Powered Analytics & IoT (Hybrid)
Designs and maintains cloud data pipelines and analytics platforms for AI-driven industrial IoT applications, enabling predictive maintenance and operational reporting.
Senior Data Platform Engineer (Databricks)
Architect and build cloud-agnostic data platforms using Databricks, designing scalable pipelines and optimizing performance across AWS, Azure, and GCP for enterprise clients.
Senior Data Engineer (m/f/d)
Design and maintain scalable data pipelines and warehouses for a global healthcare firm, integrating SAP, Salesforce, and cloud platforms while ensuring data quality and compliance.
Hybrid Data Engineer for Business Analytics & Insights
Build and maintain scalable data pipelines to collect, process, and analyze website behavior, customer, and transactional data using Airbyte, Python, and dbt.
Senior Python Data Engineer (Dataiku)
Build and maintain a tax data provider layer using Dataiku DSS, Python, and S3, ensuring secure, compliant data pipelines for multi-jurisdictional tax reporting.
data engineer for restaurant booking
Build and scale data pipelines for a European restaurant-booking platform, using Snowflake/Databricks, Airflow, and AWS to deliver reliable, cost-optimized analytics and self-service capabilities.
data engineer for business analytics
Build and maintain scalable data pipelines and warehouses using Python, SQL, dbt, and Airbyte to power analytics and ML systems for an ecommerce platform.
Data Engineer
Design and build cloud-native data pipelines on Google Cloud Platform, focusing on BigQuery, to enable analytics and AI across Puig’s fashion and beauty brands.
P2625 - Data Platform Engineer - Full Stack
Build and maintain secure, cloud-native data platforms on Azure and AWS for a biopharma company, automating clinical data pipelines and SAS Viya deployments while ensuring GxP compliance and system reliability.
Quant DevOps Engineer
Owns and operates the cloud platform and DevOps tooling that run large-scale, data-intensive financial workloads on Azure and Databricks, ensuring reliability, security, and cost efficiency.
Principal Cloud Data Engineer – Hybrid/Remote Lead
Leads cloud data architecture and pipelines for an enterprise platform, collaborating with architects and engineers using Azure/AWS/GCP, Databricks, and Snowflake.
Blockchain Protocols Software Engineer — AI-Driven, Remote
Design and evolve scalable blockchain data pipelines and services using Java and TypeScript, building AI-assisted features for reliable, high-performance crypto data processing.
Cloud-Native AWS Data Engineer – MVP Lead (Remote)
Lead the design and delivery of a cloud-native AWS data platform for a greenfield MVP, building serverless pipelines to automate invoicing and workflows while ensuring security and scalability.
Remote Data Scientist - ML & AI in Production (6-Month)
Build and deploy ML models in production, from prototype to scalable AI solutions using Python, TensorFlow/PyTorch, and cloud platforms.
Data Scientist: AI-Driven Analytics & Impact | Remote
Build and maintain data pipelines, validate datasets, and deliver AI-driven analytics to product teams in a fast-growing tech company.