Senior Data Engineer - MS Fabric

Why Keyrus, Why Now!

Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.

AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.

At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.

Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role Details

Job location: Portugal, Remote

Contract type: Employee / Contractor B2B

Target start date: September 2026

Working hours: Full-time (40h/week)

Compensation: 43k to 53k gross per year / 250 to 350 daily rate.

What You'll Architect

As a Senior Data Engineer – Microsoft Fabric & Azure, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

You will join a strategic Finance Data Transformation project, supporting the migration of an existing Qlik reporting environment to Microsoft Fabric.

This is an end-to-end and hands-on role, covering the complete data journey:

Business Requirements Data Ingestion Data Transformation Data Modelling Gold Layer Dimensions & Facts Reporting Consumption

This role is both technical and consultative — perfect for someone who can combine hands-on data engineering, solution design, and collaboration with business and technical stakeholders. We’re looking for professionals who think like architects and act like builders.

• Design, develop, and maintain scalable ETL/ELT pipelines using Microsoft Fabric and Azure technologies.
• Analyse existing data sources, transformations, and reporting requirements as part of the migration from Qlik to Microsoft Fabric.
• Translate business and Finance requirements into robust technical data solutions.
• Integrate data from multiple enterprise systems and applications.
• Develop complex data transformations using SQL and Microsoft data technologies.
• Design and implement dimensional data models, including facts and dimensions.
• Build trusted, business-ready datasets within the Gold Layer.
• Work with layered data architectures, supporting the journey from raw data to curated and consumption-ready datasets.
• Develop integrations using APIs and common formats such as JSON and CSV.
• Support data quality, reconciliation, validation, and performance throughout the data lifecycle.
• Collaborate with Data Engineers, Business Analysts, BI specialists, architects, and business stakeholders.
• Use Azure DevOps and Git for source control, collaboration, deployment, and CI/CD.
• Contribute to technical decisions and continuous improvement of the target data platform.

Who You Are

• You are curious, analytical, and motivated by solving meaningful business challenges.
• You balance strong technical thinking with an understanding of the business context behind the data.
• You are comfortable working across the full data engineering lifecycle rather than focusing on only one component.
• You are comfortable working in collaborative and international environments.
• You can communicate effectively with both technical and non-technical stakeholders.
• You take ownership of your work and follow through on commitments.
• You are pragmatic and comfortable troubleshooting complex data and integration challenges.

️ What You Bring

Qualifications & Experience

• Relevant academic background in Computer Science, Data Engineering, Information Systems, Engineering, or equivalent professional experience.
• 5+ years of experience as a Data Engineer, ETL Developer, Data Integration Engineer, or in a comparable data engineering position.
• Proven experience designing and delivering end-to-end data engineering solutions.
• Experience working with multiple enterprise systems and complex data environments.
• Experience working in Agile/Scrum environments.
• Ability to work effectively in multidisciplinary and international teams.
• Professional fluency in English.

Technical & Professional Skills

• Hands-on Microsoft Fabric experience.

• Strong SQL and database development skills.

• Strong experience designing and developing ETL/ELT pipelines.

• Hands-on experience with the Microsoft Azure data ecosystem, including technologies such as:

  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Storage / Data Lake
  • Azure Functions

• Strong understanding of data modelling and data integration concepts, including dimensional modelling, facts, and dimensions.

• Experience building curated, business-ready datasets and working with Gold Layer or comparable layered data architectures.

• Experience integrating data from multiple enterprise applications and source systems.

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

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

• Strong analytical, troubleshooting, and problem-solving capabilities.

• Ability to translate business requirements into technical data solutions.

• Understanding of data quality, validation, and reconciliation principles.

Nice to Have

• Experience migrating reporting or data solutions from Qlik / Qlik Sense / QlikView to Microsoft Fabric.
• Exposure to data governance and data quality frameworks.
• Experience in consulting or client-facing environments.
• Relevant Microsoft Azure, Fabric, or data engineering certifications.

What Makes You Successful

• You focus on outcomes rather than activity.
• You approach challenges with curiosity and pragmatism.
• You communicate complex concepts in a clear and accessible way.
• You are comfortable navigating ambiguity and finding practical solutions.
• You contribute to collective intelligence by sharing knowledge and supporting others.
• You combine autonomy with collaboration.
• You continuously look for opportunities to improve systems, processes, and results.

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

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.

Responsible AI & Recruitment

At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.

To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make hiring decisions or evaluate candidates.

To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.

Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.

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.