Data Engineer

What you'll do

• Design, build, and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases • Contribute to our modern cloud-based data platform in Azure and Databricks • Collaborate closely with Data Analysts and Data Scientists to co-create data products • Support and contribute to our internal data platform alongside our Data Platform Engineer • Continuously improve data quality, documentation, and performance • Champion best practices in DataOps: CI/CD, monitoring, alerting, testing, and infrastructure-as-code

Ihr Profil:

What you'll need

• 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic) • Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems • Expertise in Scala or Python with strong SQL skills and experience using Spark in production environments • Experience with cloud-native architectures • Familiarity with streaming data frameworks • Solid grasp of data modeling concepts • Languages & Frameworks: Scala, Python, SQL, Spark • Cloud & Infra: Azure Cloud Platform, Databricks, Kafka, Azure DevOps/GitHub, Terraform

What you'll bring

• Strong collaboration mindset working with cross-functional teams • High attention to detail with a strong focus on data quality, accuracy and reliability • Exceptional stakeholder management • Self-starter with…