Keyrus is a global consulting and technology company focused on architecting intelligence, helping organisations transform data, digital capabilities, and AI into sustainable business value.
Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities.
Data is never the goal in itself.
We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions.
At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
#OneTeamOneKeyrus
As a Data Engineer, you will work at the intersection of data, technology, and business, helping build scalable and reliable data solutions that support critical business, regulatory, and operational processes.
You will collaborate with multidisciplinary teams in an international environment and contribute to enterprise-scale data transformation initiatives.
Job location: Porto or Lisbon (Hybrid)
Contract type: Employee
Target start date: ASAP
Working hours: Full-time (40h/week)
Compensation: €40,000 – €55,000/year
Note: All applications (CVs) must be submitted in English.
In this role, you will:
Design, develop, and maintain Dataiku workflows and data pipelines.
Build data ingestion, transformation, and reconciliation processes.
Develop SQL and Python solutions supporting business requirements.
Implement data quality controls and monitoring mechanisms.
Translate business needs into scalable technical solutions.
Support data governance and lineage initiatives.
Contribute to workflow automation and process industrialization.
You will manage complex data ecosystems and large datasets.
Data quality and reliability are critical to business operations.
You will balance technical excellence with business needs.
You will collaborate across multiple teams and stakeholders.
Bachelor's or Master's Degree in Computer Engineering, Computer Science, Information Systems, Data Engineering, or related field.
3+ years of experience in Data Engineering, Data Management, or Data Analytics.
Strong Dataiku DSS experience.
Advanced SQL and Python skills.
Experience with ETL/ELT processes.
Experience building data pipelines and workflow automation solutions.
Knowledge of data quality and reconciliation frameworks.
Strong problem-solving and communication skills.
Fluency in English (B2 minimum).
Must be a Portuguese or European citizen, or hold a valid work permit for Portugal.
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.
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
Joining Keyrus means joining:
A market leader in Data Intelligence
A company where people, trust, and diversity are core values
An environment that values ownership, flexibility, and innovation
A place where different backgrounds and perspectives are not just welcomed = they are essential
We believe diversity drives better thinking, stronger teams, and better outcomes.
Everyone belongs at Keyrus.
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 hiring decisions or evaluate candidates.
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.
