Senior Data Engineer (Snowflake)

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 or Spain (Remote model - 8:00 - 17:00 h)

🕒 Contract type: Employee/ Contractor B2B

🗓 Target start date: End of 2026 Q4/ 2027 Q1

⏰ Working hours: Full-time (40h/week)

💵 Compensation: 45 - 50k per year or 280 daily rate

📋 What You'll Architect

As a Senior Data Engineer with strong expertise in Snowflake, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.

This role is both technical and consultative, perfect for someone who can combine data engineering expertise, large-scale migration delivery, and modern cloud data platform design. We're looking for professionals who think like architects and act like builders.

Key Responsibilities

• Lead the migration of data workflows from Hadoop/Hive environments into Snowflake.
• Design and implement a scalable Migration Factory to industrialise and automate migration processes.
• Develop and optimise Dataiku workflows supporting data ingestion, transformation, orchestration, and automation.
• Design and maintain robust ETL/ELT pipelines to improve scalability, reliability, and operational efficiency.
• Analyse existing data solutions and identify opportunities for optimisation and performance improvement.
• Implement scalable and high-performing Snowflake architectures, ensuring security, governance, and operational excellence.
• Collaborate with Data Architects, Business Analysts, and stakeholders to translate business requirements into technical solutions.
• Contribute to documentation, knowledge transfer, and engineering best practices across projects.

👤 Who You Are

• You are curious, analytical, and motivated by solving complex data engineering challenges.
• You enjoy transforming legacy environments into modern, scalable cloud data platforms.
• You combine strong technical expertise with a practical understanding of business objectives.
• You are comfortable working in collaborative and international environments.
• You thrive when designing efficient, repeatable, and industrialised data processes.
• You take ownership of technical initiatives and drive them through to successful delivery.
• You enjoy investigating performance bottlenecks and identifying opportunities for optimisation.
• You communicate clearly and effectively with both technical and business stakeholders.
• You are comfortable working in French and English within an international project environment.

🛠️ What You Bring

Qualifications & Experience

• Relevant academic background in Computer Science, Data Engineering, Software Engineering, or equivalent professional experience.
• 6+ years of experience as a Data Engineer or in a similar role.
• Proven experience delivering data migration programmes, ideally within Lift & Shift initiatives.
• Strong experience working with modern data warehousing and data platform technologies.
• Experience collaborating with multidisciplinary teams and stakeholders.
• Professional proficiency in English.
• Professional proficiency in French.
• Must be a Portuguese or European citizen or have a work permit for Portugal

Technical & Professional Skills

• Strong expertise with Snowflake (data modelling, optimisation, performance tuning, security).
• Hands-on experience with Dataiku or equivalent tools (Alteryx, Talend, Azure Data Factory, Informatica, Knime, Apache NiFi).
• Strong experience with: Hadoop; Hive; Legacy-to-cloud migration projects
• Proficiency in:
• SQL
• Relational databases
• Analytical databases
• Proficiency in big data frameworks such as Apache Spark, or alternatives (Databricks, Flink, Beam).
• Strong analytical and problem-solving skills, with the ability to design scalable and maintainable data solutions.
  

Nice to Have

• Experience with AWS, Azure, or Google Cloud Platform (GCP).
• Programming experience with Python or Scala.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Understanding of Data Governance, Data Quality, and Data Security best practices.
• Experience working in consulting or client-facing environments.
• Exposure to international projects and multicultural teams.

⭐ What Makes You Successful

• You focus on delivering reliable, scalable, and business-ready data solutions.
• You approach migration challenges with both technical rigor and pragmatism.
• You think beyond individual pipelines and contribute to the long-term evolution of data platforms.
• You are passionate about automation, standardisation, and engineering efficiency.
• You communicate complex technical concepts in a clear and accessible way.
• You proactively identify performance improvements and optimisation opportunities.
• You contribute to collective intelligence by sharing knowledge and supporting others.
• You combine autonomy with collaboration and thrive in cross-functional environments.
• You continuously seek opportunities to improve platform performance, data quality, and engineering standards.

🎁 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.