Data Engineer

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data solutions within a modern Azure lakehouse environment. You will play a leading role in establishing robust data foundations and work closely with data scientists and business stakeholders to turn data into actionable insights., * Leading the design and implementation of scalable ETL/ELT pipelines on Databricks

• Working within a medallion architecture (bronze, silver, gold)
• Building reusable, metadata-driven pipeline frameworks
• Managing and optimizing Delta Lake and Azure Data Lake Storage Gen2
• Setting high standards for data quality, governance, and performance
• Implementing monitoring, alerting, and observability
• Developing APIs and backend services in Python (FastAPI, Flask, or Django)
• Delivering reusable, production-grade components for wider team usage
• Supporting lightweight front-end solutions (e.g. React or Angular) where needed
• Engineering and evolving an Azure-based lakehouse platform
• Using Terraform and Azure DevOps for IaC, CI/CD, and deployment automation
• Integrating data with ERP and external systems (MS Dynamics is a plus)
• Mentoring and supporting junior data engineers
• Promoting best practices such as TDD, clean code, and solid documentation
• Collaborating with data scientists on AI and machine learning use cases
• Staying up to date with emerging tools and technologies and applying them where relevant

• Bachelor's degree in Computer Science, Data Engineering, or a related field
• 5+ years of hands-on experience in data engineering
• 1-2+ years in a senior or lead role
• Strong Python skills (PySpark for pipelines + API frameworks)
• Solid SQL skills with experience optimizing complex queries
• Proven experience with Databricks, Delta Lake, and distributed data processing
• Experience with AI/ML pipelines or working closely with data science teams
• Hands-on experience with Azure Cloud, Terraform, and Azure DevOps
• Experience designing APIs and integration patterns (REST/GraphQL)

Nice to have:

• Experience with Apache Airflow or similar orchestration tools
• Familiarity with Docker and Kubernetes
• Front-end experience (React, Angular, or Vue)
• Knowledge of data modeling (Kimball, Data Vault, star/snowflake schemas)

• Salary up to €90,000 gross per year
• Strong secondary benefits package
• A collaborative, hands-on, and technically strong team
• Plenty of room for ownership and technical decision-making
• The opportunity to work with modern data and AI technologies