Business Analyst

Intellias; Portugal; On-site; EUR 60,000 - 90,000; Full time

Job summary

Intellias is seeking a Business Analyst to join a delivery team on a large-scale enterprise data platform migration for a financial services client. You will bridge domain owners and stewards with delivery engineers and own the backlog in Azure DevOps.

The client is a global asset manager migrating to Databricks with Unity Catalog; you will define engineer-ready requirements, data contracts and acceptance criteria across multiple sub‑domains, collaborating with cross‑functional teams and

Qualifications

• 5+ years of business analysis on data or platform programmes.
• Financial services background, ideally asset management.
• Knowledge of at least one asset class, ideally fixed income.
• Experience with Azure DevOps for backlog management, sprint planning and reporting.
• Familiarity with data engineering vocabulary (schemas, contracts, lineage, Unity Catalog).
• Track record of writing engineer-ready requirements rather than high‑level statements.
• Fluent English working proficiency.

Responsibilities

• Elicit requirements from domain owners and stewards and turn them into engineer-ready specifications with source‑to‑target mappings, semantic definitions and DQ expectations.
• Define data contracts and agree acceptance criteria for each migrated domain.
• Maintain the programme backlog in Azure DevOps against the client's ways of working.
• Track cross‑domain dependencies and surface them to the Delivery Manager and Programme Steering.
• Own the domain migration readiness checklist (steward committed, source contracts documented, consumption use cases agreed) before a domain enters build.
• Contribute to documentation living alongside the code.
• Sit at the centre of a large‑scale enterprise data platform migration, translating a 70+ sub‑domain data strategy into clear, actionable requirements for engineering and architecture teams to build against.

Skills

Azure DevOps

Backlog management

Stakeholder management

Requirements elicitation

AI tooling familiarity

Data governance

English fluency

Tools

Databricks

Unity Catalog

Azure DevOps

Job description

We are hiring a Business Analyst to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. You will bridge the client's domain owners and stewards on one side and the delivery engineers on the other, and you will own the backlog in Azure DevOps.

Our client is an independent, active global asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.

As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.

Requirements

• Financial services background, ideally asset management, banking or capital markets.
• Knowledge of at least one asset class, ideally fixed income.
• Familiarity with investment management data (positions, transactions, portfolio, performance, security master, reference data).
• 5+ years of business analysis on data or platform programmes.
• Strong experience of Azure DevOps for backlog management, sprint planning and reporting.
• Comfort with data engineering vocabulary: schemas, contracts, lineage, DQ, medallion architecture, Unity Catalog.
• Track record of writing engineer-ready requirements rather than high‑level statements.
• Experience working across multiple domain teams and stakeholders on a single programme.
• Experience with AI tooling, in particular AI agents
• Fluent working English.

Nice to have

• Prior experience in a federated data mesh or data domain operating model.
• Databricks working knowledge sufficient to walk a steward through Unity Catalog artefacts.

Responsibilities

• Elicit requirements from domain owners and stewards and turn them into engineer-ready specifications with source‑to‑target mappings, semantic definitions and DQ expectations.
• Define data contracts and agree acceptance criteria for each migrated domain.
• Maintain the programme backlog in Azure DevOps against the client's ways of working.
• Track cross‑domain dependencies and surface them to the Delivery Manager and Programme Steering.
• Own the domain migration readiness checklist (steward committed, source contracts documented, consumption use cases agreed) before a domain enters build.
• Contribute to documentation living alongside the code.

Sit at the centre of a large‑scale enterprise data platform migration, translating a 70+ sub‑domain data strategy into clear, actionable requirements for engineering and architecture teams to build against. You'll work closely with business domain owners and technical teams to shape how data standards and migration priorities get defined and delivered, gaining hands‑on exposure to a high‑stakes lakehouse transformation and modern, AI‑enabled ways of working.