Data Engineer

Overview In this role you will design, develop, and operate scalable data pipelines to enable reliable data access and insights for the business. You will contribute to a Data Products Team applying Snowflake, DBT, and Azure to transform data into value, while ensuring quality and governance. You will also build Streamlit apps that translate data into actionable solutions and collaborate with cross-functional partners to meet business needs. This position offers a chance to impact sustainability-focused initiatives through data-driven decision making.

Leistungen / Benefits Diversified field of activity Team-oriented international environment Inova Academy for personal development Exposure to multiple technical disciplines Excellent employment conditions Central location with good transport links Verantwortungsbereiche Design, develop, and optimise scalable data pipelines and ETL/ELT processes using Snowflake and its stack Build Streamlit applications to translate data into business insights Collaborate with data architects, product managers, analysts, and stakeholders to capture requirements Monitor and implement data quality measures to ensure accuracy, consistency, and governance compliance Continuously optimise data processes, document pipelines and data models for maintainability Zentrale Anforderungen 2–5 years of data engineering experience in ETL/ELT, data modelling, and pipeline development Strong programming in SQL and Python

Hands-on experience with Snowflake, DBT, and Azure cloud platforms; understanding of data warehousing concepts Excellent problem-solving, attention to detail, and governance awareness Fluent English; German is advantageous Collaboration in cross-functional teams Attention to detail Problem-solving orientation Snowflake DBT Azure