Lead and develop the Analytics Data Platform team, shaping its architecture and roadmap within the Process and Data Management organization and fostering a culture of collaboration, ownership, and continuous improvement. Drive the design and scaling of our modern, cloud-based data platform on Snowflake - covering data …
1
Verständnis für komplexe Datenmodelle (Star/Snowflake Schema, multidimensionale Modelle) … B. ERP, CRM wie Salesforce von Vorteil) - Idealerweise Erfahrung in produktionsnahen Datenumgebungen (Batchprozesse, Lager-/Chargenlogik, Produktionsdaten)
2
Tasks Build streaming & batch pipelines (Azure + Databricks) Work on data ingestion, quality, transformations, and feature engineering Develop gold data layers and KPI frameworks Collaborate with business teams on real-world data use cases Drive best practices (CI/CD … Snowflake
3
Mitgestaltung: Trage aktiv zur Weiterentwicklung von Datenplattformen, Datenpipelines und Automatisierungslösungen bei, um die Servicequalität zu optimieren und datengetriebene Innovationen zu ermöglichen. Technologie-Fokus: Nutze modernste Technologien wie Databricks, Snowflake, Apache Spark, Docker, Kubernetes, Azure …
4
Lead and develop the Analytics Data Platform team, shaping its architecture and roadmap within the Process and Data Management organization and fostering a culture of collaboration, ownership, and continuous improvement. Drive the design and scaling of our modern, cloud-based data platform on Snowflake - covering data …
5
Bachelor’s/ Master’s degree in Computer Science, Engineering or related field, or equivalent proven experience as a Data Engineer, Software Developer or similar role … Demonstrated hands-on experience with AWS data services (Kinesis, Glue, Appflow, Lambda, S3), Snowflake and dbt (dbt labs) for building and modeling data pipelines
6
Design conceptual, enterprise, and logical data models across multiple domains. Define and select appropriate data platform technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Architect scalable and cost-efficient data pipelines using e.g
7
Entwicklung und Optimierung skalierbarer Data Pipelines für Daten von IoT- und Edge-Geräten - Aufbau und Pflege von Datenmodellen, Workflows und Transformationsprozessen für Analysen und Dashboards - Arbeit an produktiven Cloud-basierten Datenplattformen (vorzugsweise Azure und Snowflake)
8
Gutes Verständnis für Data Engineering-Konzepte (ETL/ELT-Pipelines, Data Warehousing/Data Lakes, Cloud-Plattformen) sowie praktische Erfahrung mit SQL; idealerweise Erfahrung mit Tools aus dem Modern Data Stack wie Snowflake und dbt
9
Location: Surabaya, Indonesia - Are you a talented Master Data Analyst that would like to take the next step in your career? And do you want to be part of building an ambitious Master Data Management practice in ECCO … Knowledge of data warehousing concepts and technologies, like Snowflake
10