You design and own the architecture of our end-to-end data platform — from data integration and transformation to data delivery
You lead the development of robust data pipelines using Fivetran, Airbyte and Python, setting technical standards for the team
You drive outstanding data modeling in Databricks and apply advanced SQL, dbt and data-quality frameworks such as elementary
You define and establish standards for data quality and ensure reliable data marts that serve as the basis for business-critical decisions
You provide technical leadership and work closely with the Product Owner and the Business Insights team on complex data challenges
You are responsible for the ongoing development of our cloud infrastructure on AWS and advance Infrastructure as Code (IaC) using Terraform

Several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment
Strong command of SQL, Python, dbt and Git, with experience building and operating production-ready data pipelines
Experience with cloud platforms (preferably AWS) and tools such as Databricks, Fivetran or Airbyte
Deep understanding of data modeling, data warehouse architectures and best practices for data quality
Strong communication skills and the ability to bridge engineering and business stakeholders

Senior Data Engineer

Key skills