Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective.
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 Consultant / Data Engineer, you will work at the intersection of data engineering, business consulting, and GenAI transformation, helping design, build, and optimise data solutions that support business processes and decision-making.
You will join a strategic transformation initiative in the insurance sector, working closely with business, data, and engineering teams to deliver high-quality data pipelines and enable AI-driven use cases, including document processing and workflow automation.
Job location: 90% Remote (Europe-based) / 10% On-site in Cologne, Germany
Contract type: Employee or Contractor
Target start date: July
Working hours: Full-time (40h/week)
Compensation:
Portugal: €50,000 – €65,000
Spain: €55,000 – €70,000
Contractor option: €300 – €400/day
Note: All applications (CVs) must be submitted in English.
In this role, you will:
Design, build, and maintain data pipelines and integrations across multiple systems
Translate business and functional requirements into technical data solutions
Work with structured and unstructured data to support analytics and GenAI use cases
Integrate data pipelines with APIs, backend systems, and AI/LLM modules
Collaborate with business stakeholders, Data Scientists, and engineers to ensure data usability and alignment
Support data quality, governance, and validation processes
Contribute to data modelling, transformation logic, and pipeline optimisation
Support Agile delivery processes, backlog refinement, and sprint execution
Ensure alignment between technical delivery and business objectives
Participate in architecture discussions and solution design decisions
You will operate in a regulated insurance environment with strong governance requirements
You will combine technical engineering delivery with consulting and stakeholder interaction
You will work on GenAI-driven transformation initiatives, requiring adaptability
You will coordinate across business, data, and engineering teams
5–8+ years of experience in data engineering, data consulting, or hybrid roles
Strong experience with data pipelines, ETL/ELT, and data integration
Ability to translate business requirements into technical data solutions
Experience working with Python and SQL
Experience with REST APIs and system integrations
Solid understanding of data modelling and data processing concepts
Experience working in Agile/Scrum environments
Strong stakeholder communication and consulting mindset
Experience working in enterprise or regulated environments
Ability to collaborate with Data Science and engineering teams
Fluent German and English
Must be a Portuguese or European citizen, or hold a valid work permit for Portugal
Experience in the insurance or financial services industry
Exposure to GenAI or AI-driven data projects
Experience with modern data platforms (e.g., Databricks, Snowflake)
Familiarity with data governance and compliance frameworks
Exposure to cloud environments (Azure, AWS, GCP)
Knowledge of real-time data or streaming architectures
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.
