Data Architect
Design and develop data models with ETL Pipelines and architectures for operational business lines in the COO area, supporting data analytics and reporting needs.
Collaborate with cross-functional teams to understand data requirements and develop data models solutions. Define and document data standards, data policies, and data governance processes to ensure data accuracy, completeness, and consistency.
Manage the entire data lifecycle, including data modeling, database design, data integration, data quality, and data security.
Ensure data architectures and models are scalable, maintainable, and extensible to support current and future portfolio needs.
Provide technical leadership and guidance to the development team to ensure correct implementation of data architectures and models.
Ensure the data governance framework of Uniper is followed in the COO area. Provide input and recommendations into our learning platform to improve Uniper's data capabilities.
Requirements : * Master's degree in Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field* At least 10 years of working experience in a data engineering, ETL / ELT processes, and preferably working as a Senior Data architect in a fast-paced and complex business setting* Demonstrated experience building and developing ETL pipelines, dimensional data models, and data warehouse solutions* Microsoft MCP Solution Architect, Snowpro Core certification, Snowpro Advanced Architect* Candidate will further demonstrate skills in database design, data integration, data architecture, data warehousing, dimensional modelling regarding Kimball, data mesh* Candidate must also be highly skilled in the use of SQL, Snowflake, Python, Azure Data Factory* Experience in a practical way with Talend jobs and batch accounts* Understand A / B testing as well as vast knowledge in the identification of key metrics that measure and drive long-term health of the business* Hands-on experience on data modelling at both conceptual and physical level.
Experience using some modelling tool such as Oracle modeler or others* Data analytics / data science skills. Experience with Python (pandas, scikit-learn, Keras, TensorFlow)* Hardworking, persistent, dependable with ability to get things done* Ability to empower people to reach higher standards* Business fluency in English, other languages advantageousBenefits : * Attractive salaries, excellent company pension, and health-related benefits* Supportive working culture with flexible working arrangements* Home office equipment* Regular training and workshops* Support for work-life balance, mobility, and health offers
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