Senior Data Engineer

Join Grover, a market leader in the tech industry, as a Senior Data Engineer. In this hands-on role, you will take ownership of complex data pipelines and infrastructure, driving the migration to a decentralized analytics model. You will work closely with senior Analytics Engineers and another Senior Data Engineer, reporting to the Data Platform Lead. Enjoy a fully remote or hybrid work structure, online German language courses, a learning budget, and the opportunity for upward career growth.

• Architect, scale, and maintain high-volume ingestion pipelines, including preprocessing and parsing complex payloads before landing in the warehouse.
• Build end-to-end automations across AWS (S3), Airflow, and the cloud data warehouse while stabilizing, documenting, and migrating legacy data flows.
• Own and evolve Apache Airflow as a platform, driving version upgrades, configuration, and architectural best practices.

• Engineering Best Practices: Solid track record with Git, testing frameworks, CI/CD, proactive documentation, and reducing technical debt
• FinOps Discipline & Mentality: A strong cost-ownership mindset. Beyond standard compute sizing and storage management, you have experience in (or see the value in) building usage tracking, attributing costs to specific users or queries, and proactively staying on top of the platform's cost optimization
• Nice-to-haves: Hands-on experience with dbt, Kubernetes, and Kafka
• Cloud & IaC: Proven experience designing cloud data infrastructure (ideally AWS) and provisioning scalable environments using Terraform
• Business Mindset & Collaboration: Pragmatic systems thinker who translates business requirements into technical solutions and communicates effectively across technical and non-technical stakeholders
• Communication & Language: Strong written and verbal communication skills in English, which is our company language
• Data Platforms & Orchestration: Hands-on production experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and Apache Airflow
• Experience & Core Tech: 5+ years in data engineering with deep proficiency in Python, SQL, and modern ELT design patterns, ideally within dynamic tech companies