Analytics Engineer – Mid Level

About the role

indrive is seeking a mid‑level Analytics Engineer to strengthen its Data Engineering team. You will help build a unified data platform that enables data‑driven decisions across the organization.

Key responsibilities

• Promote a data‑centric culture and ensure reliable, accessible data for all stakeholders.
• Design, develop, and maintain end‑to‑end data pipelines, from capture to consumer presentation.
• Build and operate big‑data storage and processing infrastructure using Kubernetes and Terraform.
• Create high‑performance REST and gRPC APIs for data access services.
• Write integration and unit tests, and develop automation tools for data validation and alerting.
• Contribute to system architecture and design discussions with the development team.

Required profile

• Strong ownership mindset and proactive contribution to team ideas.
• Solid understanding of data processing algorithms and principles.
• Experience working in collaborative, fast‑moving engineering environments.

Required skills

• Python 3.7+ (advanced proficiency)
• PySpark for ETL development
• Apache Airflow 2 for workflow orchestration
• SQL with complex query optimization
• Kubernetes (K8S) for container orchestration
• Terraform for infrastructure as code
• REST and gRPC API development
• Apache Spark and Apache Flink

What we offer

• Annual gross salary starting from 49 100 EUR
• Mentoring, career consulting, and learning programs
• Global Talent Exchange for international experience
• Company‑wide challenges, awards, sports, and volunteering projects
• Co‑financed language courses and internal speaking clubs