Lead Data Engineer

Summary

Join our growing team as a Lead Data Engineer! Design and develop solutions within the Snowflake Data Cloud for international clients. You will focus on database architectures, data warehouse management, and ensuring optimal data delivery. Responsibilities include overseeing data ingestion pipelines, designing scalable architectures, and mentoring junior engineers. The ideal candidate has extensive experience in data management, database development, and ETL processes. We offer a remote-first work environment with access to a Lisbon co-working space and various benefits.

Requirements

• Bachelor’s degree in engineering, computer science, or a related field
• Proven expertise in evaluating, selecting, and integrating data ingestion technologies to tackle complex data challenges
• Expertise in making architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics
• Experience mentoring junior engineers in best practices for data ingestion, performance optimization, and troubleshooting
• 5+ years of experience in related technical roles, including data management, database development, ETL, data warehouses, and data pipelines
• Hands-on experience in designing and developing data warehouses (e.g., Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
• Proficiency in building ETL/ELT ingestion pipelines using tools such as DataStage, Informatica, or Matillion
• Expertise in SQL scripting
• Cloud experience with AWS (Azure and GCP are also beneficial)
• Proficiency in Python scripting
• Ability to prepare reports and deliver presentations to internal and external stakeholders
• Proven problem-solving skills with a proactive, action-oriented mindset
• Strong interpersonal skills, including assertiveness and the ability to build solid client relationships
• Experience working in Agile teams
• Proficient in English, both written and spoken

Responsibilities

• Design and develop solutions within the Snowflake Data Cloud for international clients across industries
• Develop database architectures and manage data warehouses to ensure the consistent application of optimal data delivery frameworks across customer projects
• Oversee data ingestion pipelines
• Design scalable data architectures
• Ensure strong data governance and security practices
• Mentor junior engineers, guiding them in the design and implementation of innovative data solutions

Preferred Qualifications

Experience with Azure and GCP

Benefits

• Comprehensive health insurance
• Competitive meal allowance
• Annual bonus opportunities
• 22 days of paid time off, plus 2 additional days (your birthday and Christmas Eve)
• Initial home office budget
• Work from home allowance
• Technical training and certification programs
• Full access to our cosy co-working space in the heart of Lisbon (Saldanha)