• Design and implement data ingestion architectures on Snowflake. • Design, develop, and implement scalable data pipelines and architectures on AWS. • Build and maintain ingestion pipelines integrating multiple data sources. • Define and implement data quality checks, validation schemas, and testing frameworks. • Establish data governance components including glossary definitions and data stewardship patterns. • Develop the Streamlit-based ingestion validation UI and its backend logic. • Collaborate with cross-functional teams to align technical solutions with business requirements. • Contribute to documentation and continuous improvement of data reliability and quality processes.

• Build data solutions on top of Google Cloud Platform (GCP) using Python and other languages as appropriate. • Contribute to the technical direction and development of Haus’ data services, infrastructure and tools. • Create and maintain scalable data pipelines and foundational datasets to support analytics, modeling, experimentation, and product/business needs. • Develop and support data quality checks at scale, implementing alerting and anomaly detection as necessary • Create dashboards and reports to support business objectives and enable data-driven decision making • Partner with data scientists, engineers, and product teams to accomplish all of the above!

• You work on varied client projects and are responsible for implementing modern data-engineering architectures with a focus on Microsoft Fabric. • You support clients from requirements analysis through architectural decisions to implementation and the successful transition into operational production. • In doing so, you build deep expertise in Microsoft Fabric and adjacent cloud & AI technologies — or develop existing knowledge further into true excellence. • You design and implement advanced data platforms based on Microsoft Fabric. • You shape solutions across the entire data value chain — from the cloud platform through integration and transformation processes to analytics and AI applications. • You work closely with clients in workshops, architecture sessions, and strategic roadmaps, guiding them confidently through transformation phases. • You deliver projects using modern Data & AI technologies — including Microsoft Fabric, Databricks, Azure services, and current ML frameworks. • You work with a variety of industries and company sizes across the DACH region, building a broad and valuable range of experience.

• Build analytical data products and provide valuable insights to business stakeholders in innovative leading e-commerce brands • Design and deploy features for our cloud-based Data Lake and our Customer Lifetime Value (CLV) product in an agile, test-driven environment • Design schemas and datalakes and datamarts • Build scalable data-processing pipelines in the cloud using technologies like Apache Spark, Hive, BigQuery, micro-services, Kubernetes • Use Python and SQL to analyze digital marketing performance