Data Consultant - German Speaker

About Keyrus

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

The Role

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.

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.

Your Impact

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

What Makes This Role Challenging

• 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

What We’re Looking For

Must-haves

• 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

Nice-to-haves

• 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

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.

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

Why Keyrus?

• 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.

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.