Senior Data Engineer, Snowflake

This is a fully remote position, open to applicants in Portugal, +1 more country.

📋 Description

• Oversee the transition of data workflows from Hadoop/Hive systems to Snowflake.

• Design and establish a scalable Migration Factory to streamline and automate the migration processes.

• Create and enhance Dataiku workflows that support data ingestion, transformation, orchestration, and automation.

• Design and sustain reliable ETL/ELT pipelines.

• Evaluate current data solutions to identify opportunities for optimization and performance enhancements.

• Implement scalable and high-performing Snowflake architectures, ensuring security, governance, and operational excellence.

• Work collaboratively with Data Architects, Business Analysts, and stakeholders to convert business needs into technical solutions.

• Contribute to documentation, knowledge sharing, and engineering best practices across various projects.

⛳️ Requirements

• Relevant academic credentials in Computer Science, Data Engineering, Software Engineering, or equivalent professional experience.

• Over 6 years of experience as a Data Engineer or in a comparable position.

• Demonstrated experience in executing data migration programs, preferably within Lift & Shift initiatives.

• Strong background in contemporary data warehousing and data platform technologies.

• Experience working with multidisciplinary teams and engaging stakeholders.

• Professional proficiency in English.

• Professional proficiency in French.

• Must be a Portuguese or European citizen or possess a work permit for Portugal.

• In-depth expertise with Snowflake, including data modeling, optimization, performance tuning, and security.

• Practical experience with Dataiku or similar tools (Alteryx, Talend, Azure Data Factory, Informatica, Knime, Apache NiFi).

• Extensive experience with Hadoop, Hive, and legacy-to-cloud migration initiatives.

• Proficiency in SQL, relational databases, and analytical databases.

• Proficiency in big data frameworks such as Apache Spark or alternatives (Databricks, Flink, Beam).

• Strong analytical and problem-solving capabilities.

• Nice to have: experience with AWS, Azure, or Google Cloud Platform (GCP).

• Nice to have: programming experience in Python or Scala.

• Nice to have: knowledge of CI/CD pipelines and DevOps practices related to data engineering.

• Nice to have: understanding of Data Governance, Data Quality, and Data Security best practices.

• Nice to have: experience in consulting or client-facing roles.

• Nice to have: exposure to international projects and multicultural teams.

🏝️ Benefits

• 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 opportunities through KLX – Keyrus Learning Experience.

• A collaborative, international, and human-centered work environment.