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.
📍 Job location: Remote (Portugal based)
🕒 Contract type: Employee or B2B Contractor
🗓 Target start date: July 2026
⏰ Working hours: Full-time
💵 Compensation: 45k gross year to 55k gross year / or B2B up to 350 euros/day
As a Senior Databricks Data Engineer, 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 hands-on data engineering, cloud platform expertise, and solution design to deliver strategic Data & AI initiatives. We're looking for professionals who think like architects and act like builders.
Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python and SQL
Build and optimise batch and near real-time data processing solutions on the Microsoft Azure ecosystem
Develop and maintain Delta Lake-based data architectures.
Develop robust and scalable data products and modern data platform components supporting strategic business initiatives.
Contribute to CI/CD implementation and automation for data solutions.
Apply engineering best practices around source control, testing, deployment, and monitoring.
Support Infrastructure-as-Code and environment standardisation initiatives.
Ensure high standards of data quality, observability, monitoring, security, and operational reliability
Collaborate with Product Managers, Architects, Data Engineers, and business stakeholders to deliver high-quality outcomes.
Participate in technical design discussions and contribute to solution architecture decisions.
Support platform governance, cost optimisation, technical documentation, and knowledge sharing initiatives.
You are a passionate Data Engineer who enjoys building scalable, reliable, and modern cloud-based data platforms
You have a strong engineering mindset and take pride in delivering high-quality, maintainable, and production-ready solutions.
You balance hands-on technical delivery with an understanding of broader architectural and business objectives.
You are comfortable working independently, taking ownership of technical challenges, and driving solutions from design through implementation.
You thrive in Agile environments and enjoy collaborating with multidisciplinary teams across different geographies.
You are an advocate for engineering excellence, promoting automation, standardisation, and continuous improvement.
You communicate effectively with both technical and business stakeholders, adapting your message to your audience.
You enjoy sharing knowledge, mentoring colleagues, and contributing to the growth of the wider engineering community.
Qualifications & Experience
5+ years of experience in Data Engineering
3+ years of hands-on experience with Databricks
Proven experience building and maintaining modern cloud data platforms
Experience working within Agile delivery environments
Proven ability to work effectively in distributed and international teams
Professional proficiency in English
Technical & Professional Skills
Strong hands-on expertise with:
Databricks
PySpark
Delta Lake
Databricks SQL
Workflow orchestration
Performance tuning
Strong proficiency in:
Python
SQL
Experience with:
Microsoft Azure Data Platform services
Azure DevOps
Git-based development
CI/CD implementation
Data modelling
Data warehousing concepts
Good understanding of:
Data Governance
Security and access management
Monitoring and observability
Ability to design and deliver scalable, secure, and cost-efficient data solutions.
Nice to Have
Databricks certifications
Microsoft Azure certifications
Exposure to large-scale Data & AI transformation programmes
Previous experience in consulting or client-facing environments.
You focus on delivering reliable, scalable, and business-ready data solutions
You combine deep Databricks expertise with a pragmatic and outcome-oriented mindset.
You build platforms with performance, security, maintainability, and operational excellence at their core.
You proactively identify opportunities to automate, optimise, and standardise engineering processes.
You take ownership of complex technical challenges and consistently deliver high-quality results.
You collaborate effectively with Architects, Engineers, Product Teams, and business stakeholders.
You contribute to stronger engineering standards, governance, and platform maturity.
You actively share knowledge and help elevate the capabilities of the wider team.
You balance autonomy, accountability, and collaboration to drive successful project outcomes.
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
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.
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.
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.
As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective.
Our value proposition is built on diverse service groups:
Automation & Artificial Intelligence: We provide our clients with the tools to enhance productivity and accuracy across their processes, allowing them to focus on higher-value work.
Human-Centered Digital Experience: Customer relationships and employee engagement are two of the biggest contributors to business success. We help companies design and create seamless, multimodal digital experiences to achieve their goals.
Data & Analytics Implementation: Data is an undeniable key to business success. When leveraged intelligently, it unlocks unique opportunities to tackle present and future challenges.
Cloud & Security: Cloud computing and digital platforms have the potential to revolutionize how data is transformed into value, taking scalability and flexibility to the next level. We ensure that all your data remains protected and confidential.
Transformation & Innovation: To thrive in today’s ecosystem, businesses must not only accelerate their digital transformation but also develop the skills necessary to enhance adaptability, resilience, and competitiveness. We help our clients successfully transform to build a better future.
With over 3,000 employees and a presence in 28 countries across 4 continents, Keyrus is a leading international expert in data, consulting, and technology.
