Data Analytics Engineer (m/f/d)

at  Raisin

Team
Being one of the most critical functions in the company, the Data Insights team is a part of the Data organization at Raisin and is primarily responsible for architecture, design, development and management of the data warehouse, data structures and processes required for reporting and analytics. Our focus is on delivering high-quality, reliable data solutions that support the company’s commitment to data-driven decision-making. Join us and be part of a dynamic team dedicated to harnessing the power of data to drive business success.

Your Responsibilities

• Deliver and manage the data warehousing aspects of business intelligence and analytics. This includes the capability to architect, design, develop and support data extraction, transformation and orchestration processes in addition to data modelling and performance optimization on the data warehouse.
• Create and optimize data pipelines using Airflow, Snowflake and AWS.
• Design and develop the BI tool semantic layer from an engineering perspective (modelling, performance optimization etc…)
• Collaborate with cross-functional teams, including business stakeholders, to understand requirements and deliver data solutions that meet business needs.
• Document data engineering processes, data models, and data flows to ensure clarity, consistency, and maintainability of data solutions.

Your Profile

• Solid experience in Airflow, Python programming and SQL.
• Experience in a cloud data warehouse such as Snowflake.
• Knowledge of AWS services and kubernetes.
• Bachelors in Mathematics, Computer Science or other relevant quantitative fields
• Strong analytical and quantitative approach to problems
• Knowledge of Data Engineering best practices in Data Quality, Observability, etc
• Comfortable in dynamic and changing environment - strong inclination to take responsibility for your work
• Eagerness and hunger to learn

Join our mission, join our team - and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which, connects more than 40 different nationalities.
You’ll find us in our modern and open office in the trendy Kreuzberg district with a view of the Spree River, ideally connected to public transportation and surrounded by a variety of restaurants and shopping opportunities.

• Deliver and manage the data warehousing aspects of business intelligence and analytics. This includes the capability to architect, design, develop and support data extraction, transformation and orchestration processes in addition to data modelling and performance optimization on the data warehouse.
• Create and optimize data pipelines using Airflow, Snowflake and AWS.
• Design and develop the BI tool semantic layer from an engineering perspective (modelling, performance optimization etc…)
• Collaborate with cross-functional teams, including business stakeholders, to understand requirements and deliver data solutions that meet business needs.
• Document data engineering processes, data models, and data flows to ensure clarity, consistency, and maintainability of data solutions