Senior Data Engineer

01About the role

Lead the architecture and optimization of our data platforms, acting as a bridge between technical implementation and business objectives.

You'll operate with autonomy, managing projects end to end using GCP, Airflow, BigQuery and Looker. You'll apply strong reasoning to complex technical challenges and drive measurable improvements to our data infrastructure.

02Key responsibilities

• Design and implement optimized data models, schemas, and pipelines to support advanced reporting and analytics
• Design, maintain, and optimize robust automated data pipelines using Airflow and modern versioning strategies
• Build and maintain monitoring, logging, and alerting systems to ensure pipeline reliability and data freshness; establish and uphold SLAs for pipeline performance and data availability
• Develop strategies for data governance, quality assurance, and security to ensure strict compliance and reliability
• Collaborate with cross-functional teams to understand business objectives and translate them into actionable data requirements
• Provide technical leadership and mentorship to internal teams on best practices for data management and architecture

03Required skills

• 6+ years architecting and building large-scale data platforms, including data lakes and data marts
• Advanced proficiency in SQL, data modeling, ETL processes, and Python for pipeline development
• Experience with GCP and Google BigQuery (or equivalent cloud warehousing solutions)
• Proficiency with reporting tools such as Looker or Power BI
• Strong problem-solving skills, meticulous attention to detail, and self-motivation for independent initiatives

04Preferred

• Interest in predictive analytics, machine learning, and large language models (LLMs), with exposure to Google Cloud Vertex AI
• Experience with event-driven architecture and streaming data processing frameworks (e.g., Kafka, Spark, Flink)
• Deep knowledge of Postgres and advanced database design