Senior Data Engineer – Data Vault / Databricks at Keyrus Portugal

Lisbon, Community of Madrid, Portugal -

Full Time

Start Date

Immediate

Expiry Date

08 Jun, 26

Salary

400.0

Posted On

10 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Vault 2.0, Databricks, dbt, SQL, Data Modelling, Data Pipelines, Warehouse Management Systems, Delta Lake, Information Marts, Real-time Data Processing, Structured Streaming, Kafka, Data Architecture, Analytical Reporting, English Fluency, WMS

Industry

Information Technology & Services

Description

🌍 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.

Responsibilities

The role involves designing and implementing data pipelines to integrate Warehouse Management Systems into an enterprise data platform, focusing on extending and maintaining a Data Vault 2.0 architecture across Raw Vault, Business Vault, and Information Mart layers. Responsibilities also include developing data transformations using dbt within a Databricks Lakehouse environment and contributing to scalable Information Marts for high-frequency analytical reporting.