Data Engineer (Azure)

Keyrus; Lisboa; Híbrido; EUR 30 000 - 35 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Meal allowance €10.20/day

Flexible benefits plan

Private medical insurance

22 days annual leave

Resumo da oferta

Keyrus Portugal is seeking a data engineer to design and maintain scalable data pipelines using Azure Data Factory and Databricks. You will integrate data from operational systems into data warehouses and downstream applications, while building and orchestrating workflows across Azure services.

The role requires 3+ years in data engineering, strong SQL and Python skills, and fluency in Portuguese and English. Hybrid work in Lisbon area with a focus on scalable, secure data solutions.

Qualificações

• 3+ years of professional experience in Data Engineering, including data integration, transformation, modelling, and pipeline development.
• Strong experience with Microsoft Azure data services and cloud-based data solutions.
• Hands-on experience with Azure Data Factory and Databricks.
• Strong experience with SQL and relational databases/data warehouses.
• Professional experience with Python for data engineering and automation.
• Experience maintaining and evolving existing data platforms while contributing to new data projects.
• Experience working in collaborative and Agile environments.
• Fluent in Portuguese and English.
• Must be a Portuguese or European citizen or have a valid work permit for Portugal.

Responsabilidades

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, SQL, and Python.
• Develop and evolve data processes that integrate data from operational systems into data warehouses, reporting platforms, and other downstream applications.
• Build and orchestrate workflows using Azure services such as Data Factory, Logic Apps, and Function Apps.
• Develop and optimise SQL processes, including complex queries, functions, stored procedures, and data transformations.
• Maintain, troubleshoot, and continuously improve existing data pipelines and data warehouse processes.
• Contribute to new data engineering projects, translating business and technical requirements into robust and maintainable solutions.
• Monitor pipeline performance, data quality, reliability, and operational issues, proactively identifying opportunities for improvement.
• Apply data engineering best practices and contribute to the evolution of the team's cloud-based data architecture.
• Work closely with data engineers, analysts, business stakeholders, and other technical teams to ensure data is accurate, consistent, and fit for purpose.
• Work independently while proactively responding to team and project needs.

Conhecimentos

Azure Data Factory

Databricks

SQL

Python

Data integration

Data warehousing

Portuguese

English

Ferramentas

Azure Databricks

SQL Server

Descrição da oferta de emprego

Why Keyrus, Why Now!

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.

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: Carnaxide, Lisbon, Portugal (Hybrid – 3 days/week onsite)

Contract type: Employee

Target start date: October

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

Compensation: 30K to 35K gross per year

What You'll Architect

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, SQL, and Python.
• Develop and evolve data processes that integrate data from operational systems into data warehouses, reporting platforms, and other downstream applications.
• Build and orchestrate workflows using Azure services such as Data Factory, Logic Apps, and Function Apps.
• Develop and optimise SQL processes, including complex queries, functions, stored procedures, and data transformations.
• Maintain, troubleshoot, and continuously improve existing data pipelines and data warehouse processes.
• Contribute to new data engineering projects, translating business and technical requirements into robust and maintainable solutions.
• Monitor pipeline performance, data quality, reliability, and operational issues, proactively identifying opportunities for improvement.
• Apply data engineering best practices and contribute to the evolution of the team's cloud-based data architecture.
• Work closely with data engineers, analysts, business stakeholders, and other technical teams to ensure data is accurate, consistent, and fit for purpose.
• Work independently while proactively responding to team and project needs.

Who You Are

• You are curious, analytical, and motivated by solving meaningful business challenges.
• You enjoy turning complexity into clarity and action.
• You balance technical thinking with business understanding.
• You are comfortable working in collaborative and international environments.
• You take ownership of your work and follow through on commitments.
• You value continuous learning and are motivated by long‑term professional growth.
• You communicate clearly and effectively with a variety of stakeholders.

What You Bring

Qualifications & Experience

• 3+ years of professional experience in Data Engineering, including data integration, transformation, modelling, and pipeline development.
• Strong experience working with Microsoft Azure data services and cloud‑based data solutions.
• Hands‑on experience with Azure Data Factory and Databricks.
• Strong experience with SQL and relational databases/data warehouses.
• Professional experience with Python for data engineering and automation.
• Experience maintaining and evolving existing data platforms while contributing to new data projects.
• Experience working in collaborative and Agile environments.
• Fluent in Portuguese and English.
• Must be a Portuguese or European citizen or have a valid work permit for Portugal.

Technical & Professional Skills

• Strong knowledge of ETL/ELT processes, data pipelines, orchestration, and data integration.
• Solid understanding of data warehousing and data modelling concepts.
• Experience with Azure services such as Logic Apps and Function Apps is highly valuable.
• Ability to analyse and troubleshoot complex data processes and performance issues.
• Strong analytical and problem‑solving capabilities.
• Ability to work independently and take ownership of technical deliverables.
• Commitment to clean, scalable, secure, and maintainable data solutions.

Nice to Have

• Experience with Azure Lakehouse architectures or modern cloud data platforms.
• Experience with CI/CD, Git, and automated deployment of data solutions.
• Experience with Azure DevOps or similar development and delivery platforms.
• Exposure to data quality, monitoring, and governance practices.
• 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.

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.