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Senior Data Engineer Consultant
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
Engineering Manager, AI & ML (Data Collection)
As an Engineering Manager, AI & ML (Data Collection), you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform , enabling standardized, reliable, and scalable…
Staff AI Data Engineer
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Data Engineer I, Burger King
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Data Engineer
Builds scalable data pipelines and AI-powered tools to ingest healthcare datasets into ODAIA’s AI platform, enabling faster therapy access for patients.
Machine Learning Engineer, Infra, AI for Drug Discovery
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Senior Analytics Engineer
Build and maintain scalable data models in dbt and Snowflake to power analytics for home-service businesses, ensuring consistent metrics and enabling self-service BI across teams.
AI/ML Engineering Manager
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Data Engineer III
Design and optimize PostgreSQL databases and cloud-native data pipelines for a U.S. accounting/payroll SaaS, ensuring high availability and performance while mentoring junior engineers.
Data Engineer
Build and maintain scalable data pipelines using Snowflake, Dagster, dbt, Python, PySpark and SQL to deliver reliable analytics and business data access.
Senior Software Engineer (Back-End)
As a Senior Back-End Software Engineer at Arcticrd, you’ll build and maintain data pipelines, REST APIs, and cloud infrastructure for Auka (the Arctic OS), using Python and AWS, working in a mission-driven team focused on reliable systems for harsh Arctic environments.
Data Platform Engineer (RAK Bank)
Builds and maintains data pipelines and infrastructure for RAK Bank, ensuring reliable data flow and analytics for financial services.
Senior Data Engineer
Builds and maintains cloud-native data pipelines for real-time/historical energy data, focusing on Kafka, Airflow, and time-series databases to support analytics and ML for climate-friendly heating/cooling solutions.
Danfoss - Data Engineer (LHU) - JIT Offices
Senior Data Engineer builds cloud-native pipelines in Python to ingest, process, and serve real-time and historical time-series data for energy-efficient heating/cooling solutions using Kafka, Airflow, SQL, and cloud platforms.
(Senior) Analytics Engineer (f/m/d)
Own the end-to-end data stack: model, ingest, transform, and serve analytics for a fintech platform serving private markets, using dbt, dlt, BigQuery, and Lightdash.
Staff Data Engineer
Build and own scalable data pipelines and warehouses for an AI-powered chronic-care platform, using SQL, Python, dbt, and cloud tools to deliver reliable data products across Europe.
Data Architect, Clinical
Design and scale the data architecture for a precision-cardiology platform, integrating clinical, device, and real-world data into interoperable, compliant pipelines for analytics, AI, and clinical research.
Senior Data Engineer, AI & Data Platform
Senior Data Engineer builds and maintains AI-ready data pipelines and platforms for a global real-estate operator, enabling analytics and LLM integrations across property, financial, and IoT data sources.
Data Engineer
Build and maintain scalable data pipelines, cloud data warehouses, and real-time processing systems using Python, SQL, and cloud platforms to power analytics and business decisions.