Beschreibung
We are seeking an experienced data professional to design, build and improve scalable data platforms and analytics solutions.
The role
combines hands-on data engineering and architecture with business-facing collaboration.
Key responsibilities
- Design and maintain data warehouse and lakehouse architectures, dimensional data models and reliable ETL/ELT pipelines. • Integrate data from cloud platforms, databases, APIs and enterprise systems; ensure data is accurate, well documented and fit for use. • Build and maintain analytics and business intelligence solutions, dashboards and reporting for operational and senior stakeholders. • Establish data quality, governance, privacy and compliance practices, and investigate root causes of data issues. • Work with business, analytics, data science, technology and risk teams to translate needs into practical data products and roadmaps. • Improve processes through automation, mentor colleagues and contribute to technical standards and best practices.
Requirements
- At least 8 years of experience in data engineering, data architecture, business intelligence or a related data role. • Strong SQL skills and experience with data modelling, data warehousing and ETL/ELT development. • Experience with cloud data platforms such as AWS or Google Cloud, and modern analytics or BI tools. • Familiarity with Python, APIs, event or streaming data, and enterprise data sources is an advantage. • Knowledge of data quality, governance and privacy requireme
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