Senior Data Engineer

📋 Description

• Build Scalable Pipelines: Design, develop, and optimize data pipelines that ingest, process, and deliver reliable data across the company.
• Ensure Data Quality & Security: Implement monitoring, governance, and best practices to keep systems accurate, performant, and compliant.
• Collaborate & Enable: Partner with Analysts, ML Scientists, and Engineers to deliver structured datasets to unlock insights.
• Evolve Our Data Platform: Manage and improve data warehouse and infrastructure to support analytics, AI, and ML at scale.
• Innovate: Experiment with advanced data modelling and analytical techniques to improve system capabilities.

🎯 Requirements

• Proven experience in Analytics Engineering, Data Engineering or a related role.
• Strong SQL skills for querying and optimizing large datasets, including ETL pipelines at scale.
• Strong proficiency in Python for data processing.
• Strong understanding of data modeling and data warehouse architecture.
• Ability to translate complex business requirements into scalable, well-structured data models and high-quality datasets.
• Ability to clearly communicate complex concepts with both technical and non-technical stakeholders.

🎁 Benefits

• Hybrid onboarding to start work remotely and relocation support for you and your family.
• Comprehensive health insurance for you and your family.
• Professional development budget for conference tickets, online courses, and other resources to help you grow.
• Flexible benefits package to tailor perks that matters most for you.
• Hybrid work and generous leave options to prioritize work-life balance.
• In-office perks, including free meals and snacks.