🌍 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 Vault Expert, you will work at the intersection of data, technology, and business, helping our clients turn complexity into clarity and insights into impact.

You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and sustainable growth.

📍 Job location: Portugal - Remote
🕒 Contract type: Fixed-term Employee Contract or B2B
🗓 Target start date: April
⏰ Working hours: Full-time (40h/week)
💵 Compensation: B2B 300euros to 400euros per day / Fixed-term - 50k to 60k

Note: All applications (CVs) must be submitted in English.

💥 Your Impact

In this role, you will:

Design and implement data pipelines that integrate Warehouse Management Systems (WMS) into an existing enterprise data platform
Extend and maintain a Data Vault 2.0 architecture (Raw Vault, Business Vault, and Information Mart layers)
Develop data transformations using dbt within a Databricks Lakehouse environment
Build persistent staging and ingestion pipelines to address operational system data retention limitations
Integrate data from multiple operational and reference sources to enable consolidated cross-system reporting
Contribute to the creation of scalable Information Marts that support high-frequency analytical reporting
Follow and enhance existing automation frameworks and development standards used in the platform
Collaborate with data architects, engineers, and business stakeholders to ensure solutions are robust, scalable, and future-ready
Contribute to designing architectures that can evolve from batch ingestion to real-time data processing

⚡ What Makes This Role Challenging

You will work within a complex enterprise data ecosystem, integrating data from multiple operational systems with different structures and retention policies
The project requires extending an existing Data Vault 2.0 architecture while maintaining strict modelling standards
The platform must support high-frequency reporting needs while preparing for future real-time data processing
You will work with modern technologies such as Databricks, Delta Lake, and dbt, while ensuring alignment with existing platform frameworks
The environment requires balancing technical rigour, scalability, and delivery speed

👤 What We’re Looking For

Must-haves

Proven experience working with Data Vault 2.0 modelling
Strong experience with modern data platforms such as Databricks or Snowflake
Hands-on experience using dbt (Data Build Tool) for data transformation
Strong SQL and data modelling skills
Experience building data ingestion pipelines and integrating multiple source systems
Strong analytical and problem-solving skills
Ability to communicate clearly with both technical and non-technical stakeholders
A collaborative mindset and sense of ownership
Fluency in English
Fluency in English
Must be a Portuguese or European citizen, or hold a valid work permit for Portugal

Nice-to-haves

Experience with Databricks Lakehouse and Delta Lake
Knowledge of streaming data architectures (e.g., Databricks Structured Streaming or Kafka)
Experience working with data warehouse automation frameworks
Experience implementing enterprise data warehouse or lakehouse architectures
Exposure to international or multicultural projects
Experience working in consulting or client-facing environments

💰 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?

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.

♿ 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.

Senior Data Engineer – Data Vault / Databricks

Benefits

Job Description