Senior Data Modeller for Enterprise Lakehouse Platform

Intellias; Portugal; On-site; EUR 42,000 - 65,000; Full time

Benefits offered by this job

Health Insurance

22 days annual leave

Permanent contract

Porto office

Snacks and drinks at the office

Discount platform

Job summary

Intellias is hiring a Business Analyst to join a delivery team for a large-scale enterprise data platform migration in the financial services sector. You will bridge domain owners with delivery engineers, own the backlog in Azure DevOps, and help shape data models across multiple business domains.

You will collaborate with SMEs and analysts to define concepts, standards, and governance, and contribute to a federated data model while supporting lakehouse initiatives and CI/CD processes.

Qualifications

• Substantial data modelling experience including conceptual/logical modelling
• Credible domain knowledge in asset/investment management or related financial services
• Ability to run business workshops and translate definitions for engineering/architecture teams
• Experience with backlogs, requests, and traceability from business terms to delivered data columns

Responsibilities

• Run data modelling workshops with business SMEs and analysts
• Design conceptual and logical data models across multiple domains
• Ensure traceability from business terms to delivered data columns
• Contribute to federated data model and governance standards
• Review and challenge model changes including AI-generated drafts

Skills

Data modelling

Asset management domain

Workshops facilitation

Backlog management

Tools

GitHub

Azure DevOps

Git

Erwin/ER/Studio

Job description

Intellias is hiring a Business Analyst to join a delivery team for a large-scale enterprise data platform migration in the financial services sector. You will bridge domain owners with delivery engineers, own the backlog in Azure DevOps, and help shape data models across multiple business domains.

You will collaborate with SMEs and analysts to define concepts, standards, and governance, and contribute to a federated data model while supporting lakehouse initiatives and CI/CD processes.