Senior Data Engineer - MS Fabric

🌍 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.

#OneTeamOneKeyrus

🎯 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: Employee or Contractor
🗓 Start Date: ASAP
⏰ Working Hours: Full-time
💵 Compensation: 43k to 53k Gross year or Daily rate €250 – €350

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 scalable solutions that support both operational and analytical use cases

• Balancing delivery speed with maintainability, governance, and performance

• Working across business, integration, and data platform domains

• Taking ownership of solutions from design through implementation and support

👤 What We're Looking For

Must-Haves

• 5+ years of experience as a Data Engineer, ETL Developer, or Data Integration Engineer

• Experience working in Agile/Scrum environments

• Strong SQL and database development skills

• Experience designing and developing ETL/ELT pipelines

• Hands-on experience with Microsoft Azure services (Azure Synapse, Azure Data Factory, Azure Storage, Azure Functions, or similar)

• Experience integrating data from multiple enterprise systems and applications

• Strong understanding of data modelling and data integration concepts

• Experience working with APIs, JSON, CSV, and other common integration formats

• Experience with Azure DevOps, Git, and CI/CD practices

• Strong analytical and problem-solving skills

• Fluency in English

Nice-to-Haves

• Experience with Azure Databricks

• Experience with PySpark or Spark-based processing frameworks

• Exposure to Master Data Management (MDM) solutions

• Experience with ERP integrations (SAP, Oracle, Dynamics, Exact, etc.)

• Experience with Talend or similar ETL platforms

• Familiarity with Power BI and reporting ecosystems

• Experience working in construction, industrial, manufacturing, or multi-entity enterprise environments

• Exposure to data governance and data quality frameworks

💰 How Our Salary Ranges Work

At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

• Bottom of the range
  You meet the core requirements and will need ramp-up time and support.

• Middle of the range
  You are fully autonomous from Day 1 and deliver consistently.

• Top of the range
  You are a reference for the role, mentor others, and raise the bar for the team.

Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.

🎁 What We Offer at Keyrus Portugal

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Flexible benefits plan

• Private medical insurance

• 22 days of annual leave, increasing every 3 years (up to 25 days)

• Continuous learning via KLX – Keyrus Learning Experience

• A collaborative, international, and human-centred work environment

💙 Why Keyrus?

Joining Keyrus means joining:

• A market leader in Data Intelligence

• A company where people, trust, and diversity are core values

• An environment that values ownership, flexibility, and innovation

• A place where different backgrounds and perspectives are not just welcomed = they are essential

We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.

♿ Equal Opportunity Statement

We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.