Senior Data Engineer

Job description Salary: €32k – €50k gross per year About Keyrus At Keyrus, we help organisations turn complexity into measurable outcomes by combining data, technology, intelligence and human decision-making.
As a global consultancy specialising in Data, AI and Digital Transformation, we work with organisations to transform how they collect, manage, process and use data — creating the foundations for better decisions, smarter operations and AI-driven innovation.
We are looking for a Senior Data Engineer fluent in French to join our team in Portugal and contribute to data engineering and modernisation initiatives across a range of client environments.
Role Details Location: Lisbon, Portugal Work model: Hybrid Languages: French and English Employment type: To be confirmed Start date: To be confirmed What You'll Architect As a Data Engineer, you will design, develop and maintain scalable data solutions that enable reliable analytics, reporting and advanced data use cases.
You will work with modern cloud and data technologies, collaborating with technical teams and business stakeholders to turn data requirements into robust, production-ready solutions.
Your responsibilities will include: Designing, building and maintaining scalable data pipelines and data integration processes.
Developing and optimising ETL/ELT workflows to ingest, transform and deliver data from multiple sources.
Working with modern data platforms and cloud environments, such as Azure, AWS or Google Cloud.
Building data solutions using technologies such as Snowflake, Databricks and/or Microsoft Fabric.
Ensuring data quality, reliability, performance, security and governance across data processes.
Collaborating with data architects, analysts, data scientists and business stakeholders to deliver effective data solutions.
Contributing to data platform modernisation, automation and continuous improvement initiatives.
Exploring and applying AI-enabled development tools and automation capabilities to improve productivity and engineering practices.
Participating in technical discussions, solution design and best-practice implementation.
What You Bring Must-have 3+ years of relevant professional experience in Data Engineering, Data Development or a closely related data-focused role.
Strong SQL skills and experience developing data transformations and pipelines.
Practical experience with at least one modern cloud data platform or data ecosystem.
Experience with ETL/ELT processes, data integration and data modelling fundamentals.
Fluency in French , with the ability to communicate effectively in a professional environment.
Good working proficiency in English.
Strong analytical and problem-solving skills, with a collaborative and delivery-oriented mindset.
Nice to have Experience with one or more modern data platforms, such as Snowflake, Databricks or Microsoft Fabric.
Experience with cloud services in Azure, AWS or Google Cloud.
Programming experience with Python or PySpark.
Familiarity with orchestration and transformation tools such as Azure Data Factory, Airflow or dbt.
Knowledge of data lakes, lakehouse architectures, data warehousing and distributed processing.
Familiarity with data governance, monitoring, testing, CI/CD and infrastructure automation.
Experience using AI coding assistants or other AI-powered tools to support development, testing and troubleshooting.
Experience working in consulting environments or on projects involving international teams and clients.
Why Join Keyrus?
Work on data and AI initiatives across different industries and client environments.
Develop your expertise with modern cloud and data technologies.
Collaborate with international teams in a knowledge-sharing environment.
Contribute to meaningful digital transformation projects with opportunities for continuous learning and professional growth.
Ready to turn data into impact?
We'd love to hear from you.
Requirements Target profile Mid-level to Senior Data Engineers, ideally with 3+ years of relevant experience, strong SQL and data pipeline development skills, practical cloud experience, and professional fluency in French.
Primary differentiator: French French should be a genuine screening requirement, not merely a preferred skill.
We will prioritise candidates who can comfortably participate in technical discussions and client meetings in French.
English should also be sufficient for international delivery.
Technology strategy We are looking for transferable data engineering expertise, not a specific vendor stack.
One strong modern platform plus SQL, pipelines and cloud experience is a better starting point than requiring Snowflake, Databricks and Microsoft Fabric simultaneously.
Priority Skills Tier 1 — non-negotiable French fluency, SQL, ETL/ELT and data pipelines, practical data engineering experi