Senior Data Engineer - Keyrus

🌍 About Keyrus

Keyrus is a global consulting and technology company focused on architecting intelligence , helping organisations transform data, digital capabilities, and AI into sustainable business value.

Founded in 1996, Keyrus operates in 28+ countries across 5 continents , with more than 3,300 people worldwide . Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.

Data is never the goal in itself.

We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions .

At Keyrus , we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives , we actively contribute to sustainability, inclusion, and positive societal impact.

#OneTeamOne Keyrus

🎯 The Role

As a Senior Data Engineer (Azure) , you will play a key role in designing, building, and maintaining scalable data integration and data platform solutions that support enterprise-wide reporting, analytics, and master data management initiatives.

You will work within a collaborative Agile team, helping consolidate data from multiple business systems into trusted, centralised data platforms that enable informed decision-making across the organisation.

📍 Location: Portugal-based (Remote) 🕒 Contract Type: Contractor 🗓 Start Date: ASAP ⏰ Working Hours: Full-time 💵 Compensation: Daily rate €250 – €300

Note: All applications (CVs) must be submitted in English.

💥 Your Impact

In this role, you will:

Design, develop, and maintain scalable data pipelines and integration solutions within the Azure ecosystem

Build and support enterprise data platforms that consolidate information from multiple source systems

Develop ETL/ELT processes to ingest, transform, validate, and distribute business-critical data

Contribute to data modelling, data quality, and governance initiatives

Support Master Data Management (MDM) processes and ensure consistency across systems

Work with structured and semi-structured data from ERP, business applications, APIs, databases, and external sources

Collaborate with business and technical stakeholders to translate requirements into scalable data solutions

Participate in deployment, testing, monitoring, and continuous improvement activities

Contribute to CI/CD pipelines, automation, and DevOps best practices

Actively participate in Agile ceremonies and team collaboration

⚡ What Makes This Role Challenging

Integrating data from multiple business entities, systems, and regions into a single trusted source of truth

Ensuring data quality, consistency, and reliability across complex enterprise environments

Designing scalabl