Data Engineer | Microsoft Data Stack at Keyrus · Lisbon

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: Lisbon, Hybrid. 🕒 Contract type: Employee 🗓 Target start date: September 2026 ⏰ Working hours: Full-time 💵 Compensation: 28k to 32k gross per year

📋 What You'll Architect

As a Data Engineer, you will be responsible for developing, maintaining and improving data integration and transformation solutions that support analytics, reporting and business applications.

You will work across the data lifecycle, from extracting and integrating information from different sources to transforming, modelling and making data available for downstream consumption.

• Designing, developing and maintaining data pipelines and ETL processes;
• Building complex data integration workflows using SQL and SSIS;
• Extracting, transforming and integrating data from multiple sources;
• Working with large and complex datasets;
• Developing and optimising SQL queries, stored procedures and data transformations;
• Supporting the design and maintenance of data models and analytical data structures;
• Defining and monitoring SLAs for data pipelines and ETL processes;
• Monitoring data processes and identifying performance bottlenecks;
• Improving the performance, scalability, reliability and maintainability of existing data solutions;
• Ensuring appropriate data quality and consistency throughout data pipelines;
• Applying strong Software Engineering principles to Data Engineering development;
• Following database development, administration and performance optimisation best practices;
• Troubleshooting data integration, database and performance issues;
• Supporting analytical and reporting solutions using SSAS, SSRS and Power BI when required;
• Working closely with technical teams, business stakeholders and end users to understand data requirements and resolve technical challenges;
• Contributing to the continuous improvement of the client's data ecosystem.

👤 Who You Are

• You are curious, analytical, and motivated by solving complex data and technical challenges.
• You enjoy building reliable data solutions and improving the way data is integrated, transformed, and consumed.
• You take ownership of your work and proactively identify problems and opportunities for improvement.
• You are autonomous, detail-oriented, and comfortable working in a dynamic and fast-paced environment.
• You enjoy collaborating with technical teams, business stakeholders, and end users.
• You communicate clearly and can translate business requirements into effective technical solutions.
• You value continuous learning and are motivated by developing your Data Engineering expertise.

🛠️ What You Bring

Qualifications & Experience

• Degree in Computer Engineering, Computer Science, Information Systems, or equivalent professional experience.
• Around 2–4 years of professional experience in Data Engineering, Data Integration, Business Intelligence, or a similar data-focused role.
• Experience working with large and complex datasets.
• Experience working with business users and technical stakeholders to understand requirements and solve data-related challenges.
• Professional proficiency in English and Portuguese

Technical & Professional Skills

• Strong hands-on experience with SQL and relational databases.
• Solid experience designing, developing, and maintaining ETL and data integration processes.
• Hands-on experience with SQL Server Integration Services (SSIS).
• Experience with data modelling, data transformation, and data preparation.
• Experience monitoring and optimising ETL performance, including working with SLAs.
• Good understanding of database performance, optimisation, and administration best practices.
• Strong understanding of Software Engineering principles and development best practices.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Ability to build reliable, maintainable, and high-quality data solutions.

Nice to Have

• Experience with SQL Server Analysis Services (SSAS) and/or SQL Server Reporting Services (SSRS).
• Experience with Power BI.
• Familiarity with Big Data technologies and large-scale data environments.
• Exposure to cloud-based data platforms.
• Experience in consulting or client-facing environments.

⭐ 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 decisions.

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.