We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is seeking a BI Consultant to deliver innovative tools and solutions to global business teams. This is a cross-functional role that requires strong interpersonal skills and the ability to liaison with technical teams and clients.

Job Duties:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Seeking a Power BI/BI Consultant to design and deliver scalable analytics solutions for global business teams, with a focus on commercial pharma (sales, field force, and HQ reporting). Candidates should have experience in Power BI development, PBI migrations, and leveraging tools like Alteryx for automated reporting.

Responsibilities:

• Design and develop Power BI dashboards and reports for commercial pharma (sales, field force, HQ reporting)
• Translate business requirements into data models, data flows, and scalable BI solutions
• Lead/assist in Power BI migration initiatives and reporting automation (Alteryx or similar tools)
• Ensure data quality, validation, and governance across reporting layers
• Collaborate with cross-functional teams and stakeholders; manage Agile delivery and support enhancements, including chatbot/AI integrations

Requirements

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is seeking a BI Consultant to deliver innovative tools and solutions to global business teams. This is a cross-functional role that requires strong interpersonal skills and the ability to liaison with technical teams and clients.

Job Duties:

Senior Data Engineer - AI-First Fintech Platform

Location: Remote - Fully Remote - Across Europe

Compensation: $120K - $140K

We are a rapidly growing fintech and crypto platform undergoing an AI-first transformation. We are seeking a strategic, high-impact, and high-ownership Senior Data Engineer to build the foundational data infrastructure that powers our cutting-edge AI features.

You will report directly to the CTO and work closely with our Machine Learning (ML) team to consolidate and govern our data ecosystem (including PostgreSQL, Kafka, BigQuery, and GCS) into a clean, governed, and ML-ready platform. Your contributions will directly enable critical AI functionality across our product suite.

This role is responsible for the end-to-end design, implementation, and governance of our core data platform, ensuring high performance and readiness for ML applications.