We’re looking for a highly skilled and proactive Senior Data Engineer to join our Data Engineering & BI team.

This role combines deep technical expertise, business collaboration, and a strong mentoring and leadership mindset. You'll be a key player in designing and scaling our data infrastructure, with a strong focus on Snowflake, DBT, and SQL, while ensuring we deliver high-value, reliable data solutions to support business teams across the organization.

• Design, implement, and administer Snowflake architecture, including data modeling, security, performance tuning, and cost optimization.
• Build and maintain DBT models with clear structure, testing, documentation aligned with business logic and transformation best practices, and manage the environment.
• Write, optimize, and maintain complex SQL queries across Snowflake and traditional RDBMS (Oracle, PostgreSQL, etc.).
• Develop and automate robust data pipelines using Python for extraction, transformation, and loading.
• Use Git for collaborative version control and develop CI/CD workflows.
• Engage with business stakeholders to understand their needs and build scalable, self-service data solutions.
• Administer or support reporting platforms (such as Tableau), ensuring performance, governance, and ease of use.
• Drive technology choices, standardization, and architectural best practices within the team.
• Mentor junior team members, fostering a culture of excellence, continuous learning, and cross-functional support.

• 7+ years of experience in data engineering or a similar role, in a modern cloud-based data environment.
• Expert-level SQL skills — you write clean, optimized, and maintainable queries effortlessly.
• Advanced experience with Snowflake (security, architecture, optimization).
• Strong hands-on expertise with DBT for transformation pipelines and model governance.
• Deep understanding of traditional relational databases and their performance characteristics.
• Solid proficiency in Python for scripting and automation tasks.
• Experience with Git and collaborative development workflows.
• Strong interpersonal and communication skills to work effectively with both technical and business teams.
• Proven ability to lead technical decisions, introduce new tools or practices, and mentor junior engineers.

Nice to have:

• Experience administering or supporting Tableau or similar reporting tools.
• Familiarity with data governance concepts (cataloging, lineage, RBAC).
• Event based workflow implementation (Kafka, Confluent,...)
• Exposure to Agile methodologies (Scrum, Kanban).