xxxxx at Keyrus Portugal

Lisbon, Community of Madrid, Portugal -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

50000.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, SQL, Python, PySpark, Snowpark, Spark, Databricks, Data Modeling, ETL/ELT Pipelines, Data Migration, Dataiku, French Proficiency, English Proficiency

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 Snowflake Data Engineer, you will work at the intersection of data, technology, and business, helping our clients modernise enterprise data platforms and accelerate their cloud transformation journeys. You will contribute to a large-scale international data migration program within the insurance sector, supporting the transition from legacy Hadoop/Hive ecosystems to a modern Snowflake-based architecture. You will collaborate with multidisciplinary teams in an international environment and contribute to projects that drive performance, innovation, and scalable data solutions. 📍 Job location: Portugal (Remote) 🕒 Contract type: Contractor B2B or Employee 🗓 Target start date: June 2026 ⏰ Working hours: Full-time 💵 Compensation: 250 to 340 euros per day OR Between 40k and 50k gross per year. Note: All applications (CVs) must be submitted in English. 💥 Your Impact In this role, you will: Participate in enterprise-scale migration projects from Hadoop/Hive to Snowflake; Design and develop ETL/ELT pipelines for batch and near real-time ingestion; Develop scalable and optimised Snowflake data models and transformations; Work with technologies such as Snowflake, SQL, Python, PySpark, Snowpark, Spark, and Databricks; Ensure data quality, consistency, governance, and security throughout migration activities; Collaborate with architects, engineers, and business stakeholders across international teams; Contribute to modernisation initiatives and cloud transformation programs; Support continuous improvement and optimisation of enterprise data platforms. ⚡ What Makes This Role Challenging You will work in complex, evolving enterprise environments; You will contribute to large-scale modernisation and migration initiatives. You will balance technical delivery, optimisation, and governance requirements; You will collaborate with multicultural and cross-functional teams. The role requires autonomy, ownership, and strong problem-solving capabilities. 👤 What We’re Looking For Must-haves Minimum 5 years of experience as a Data Engineer or similar role; Strong hands-on experience with Snowflake, including: Data modelling; Performance optimization; Security implementation; Proven experience in data migration and modernisation projects; Strong SQL expertise and experience with analytical databases; Hands-on experience with Dataiku or similar data integration tools; Experience with Python, PySpark, and Snowpark; Experience with distributed processing frameworks such as Spark or Databricks; Strong analytical and problem-solving skills; Ability to communicate clearly with both technical and non-technical stakeholders; A collaborative mindset and strong sense of ownership; Professional proficiency in French Fluency in English Must be a Portuguese or European citizen, or hold a valid work permit for Portugal Nice-to-haves Experience within insurance or other highly regulated industries; Experience with dbt; Experience with cloud environments (Azure and/or AWS); Familiarity with CI/CD and DevOps practices for data platforms; Exposure to Data Vault 2.0 methodologies; Experience in consulting environments; Exposure to international or multicultural projects. 💰 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

Lead the migration of enterprise data platforms from Hadoop/Hive to Snowflake within the insurance sector. Design and develop scalable ETL/ELT pipelines and optimized data models to support cloud transformation.