Azure Data Consultant

Digma Consulting; Lisboa; Vor Ort; EUR 24.000 - 32.000; Vollzeit

Zusammenfassung

Digma Consulting is seeking early-career to mid-level consultants to work on data and analytics delivery using Azure, Power BI, databases, and DevOps practices in practical enterprise projects. This hybrid role in Lisbon focuses on hands-on implementation over pure cloud architecture, delivering data pipelines, reporting, and data models alongside senior consultants.

You will collaborate across data engineering, reporting, and platform operations to ensure reliable, scalable solutions for

Qualifikationen

• Early-career to mid-level profile.
• Academic, internship, or professional exposure to Azure, SQL, Power BI, or data engineering is valued.
• Hands-on interest in data delivery, reporting, pipelines, and databases.
• Basic understanding of development workflows, Git, DevOps, or structured delivery practices.
• Professional discipline: organization, punctuality, ownership, and clear communication.

Aufgaben

• Azure Data Factory pipelines and data movement workflows.
• Power BI reporting support and data model improvement.
• SQL-based data preparation, validation, and troubleshooting.
• Application-oriented data delivery using repositories, environments, and DevOps practices.
• Client delivery tasks with guidance from senior consultants.

Kenntnisse

Azure

Power BI

SQL

Data engineering

DevOps

Tools

Azure Data Factory

SQL Server tooling

Jobbeschreibung

This role is for early-career consultants who want to work on data and analytics delivery using Azure, Power BI, databases, and DevOps practices in practical enterprise projects.

Hybrid - Lisbon, Portugal Early-career to mid-level profile

Role Overview

Contribute to data and analytics solutions using Azure data services, Power BI, databases, and delivery practices that support reliable implementation in enterprise environments.

Delivery Reality

What this work feels like in enterprise data delivery

This role is focused on practical implementation rather than pure cloud architecture. You will work with data pipelines, reporting needs, databases, and delivery workflows.

• Building and maintaining data flows using tools such as Azure Data Factory
• Supporting reporting and analytics solutions with Power BI and database-backed data models
• Working with development workflows, repositories, environments, and controlled releases
• Understanding dependencies between data sources, transformations, reports, and business users
• Balancing practical delivery speed with documentation, validation, and maintainability

Decision Exposure

• Sequencing choices across data pipelines, reporting dependencies, and deployment readiness
• Trade-offs between delivery speed, technical debt, and long-term maintainability
• Coordination with senior consultants, client platform teams, and business-facing stakeholders

What You Will Work On

• Azure Data Factory pipelines and data movement workflows
• Power BI reporting support and data model improvement
• SQL-based data preparation, validation, and troubleshooting
• Application-oriented data delivery using repositories, environments, and DevOps practices
• Client delivery tasks with support from senior consultants

What We Are Looking For

• Early-career to mid-level profile
• Academic, internship, or professional exposure to Azure, SQL, Power BI, or data engineering is valued
• Hands-on interest in data delivery, reporting, pipelines, and databases
• Basic understanding of development workflows, Git, DevOps, or structured delivery practices
• Practical problem-solving mindset and willingness to learn from senior consultants
• Professional discipline: organization, punctuality, ownership, and clear communication

What We Offer

• Meaningful work on enterprise cloud and data modernization contexts
• Guidance from senior specialists across architecture and delivery pressure points
• Progressive responsibility in delivery ownership and platform decision support

Profile That Fits Well

• You are structured in execution and clear in communication
• You balance technical detail with broader delivery context
• You are comfortable in collaborative, accountability-driven enterprise settings

Delivery Environment

How delivery environments are coordinated

This role contributes to cloud-connected delivery environments where data, reporting, and platform decisions are tightly interdependent.

• Cross-team delivery where data engineering, reporting, and platform operations must move in sequence
• Hybrid enterprise estates where cloud services integrate with established governance and operational controls
• Modernization phases where pipeline reliability, deployment discipline, and run-state supportability must stay balanced
• Stakeholder coordination across technical and business teams to keep delivery decisions clear under operational pressure