Data Engineer (all genders)

Job overview

Our Data Engineering team plays a critical role in this mission, transforming raw data into high-quality, reliable assets for reporting, analytics, and advanced data products. You’ll be part of a collaborative team of Data Engineers, and supported by a dedicated Data Architect and Program Manager for alignment across tech and business.

What you will 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

Job Title

Data Engineer

What you will 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, especially Azure Cloud Platform and Databricks
• Familiarity with streaming data frameworks (Kafka, Event Hubs, or similar)
• Solid grasp of data modeling concepts, especially in the context of analytics and reporting (conceptual/logical/physical models)
• Languages & Frameworks: Scala, Python, SQL, Spark
• Cloud & Infra: Azure Cloud Platform, Databricks, Kafka, Azure DevOps/GitHub, Terraform

What you will bring

• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Strong collaboration mindset to work effectively with cross-functional teams including data science, engineering, and business units
• High attention to detail with a strong focus on data quality, accuracy, and reliability
• Skilled in stakeholder management, capable of balancing business needs with technical feasibility
• Self-starter with strong organizational skills and the ability to drive initiatives from concept to completion

We believe in fair and transparent pay. For this position, the annual salary starts at a minimum of €70,000 and depends on your qualifications, experience, and level of responsibility.

Inclusivity

All genders

Workplace type

Hybrid