Data Architect
Design and develop data models with ETL Pipelines andarchitectures for operational business lines in the COO area,supporting data analytics and reporting needs.
Collaborate withcross-functional teams to understand data requirements and developdata models solutions. Define and document data standards, datapolicies, and data governance processes to ensure data accuracy,completeness, and consistency.
Manage the entire data lifecycle,including data modeling, database design, data integration, dataquality, and data security.
Ensure data architectures and modelsare scalable, maintainable, and extensible to support current andfuture portfolio needs.
Provide technical leadership and guidanceto the development team to ensure correct implementation of dataarchitectures and models.
Ensure the data governance framework ofUniper is followed in the COO area. Provide input andrecommendations into our learning platform to improve Uniper's datacapabilities.
Requirements : * Master's degree in InformationTechnology, Economics, Information Systems, Statistics, AppliedMath, Business Administration, or any other related field* At least10 years of working experience in a data engineering, ETL / ELTprocesses, and preferably working as a Senior Data architect in afast-paced and complex business setting* Demonstrated experiencebuilding and developing ETL pipelines, dimensional data models, anddata warehouse solutions* Microsoft MCP Solution Architect, SnowproCore certification, Snowpro Advanced Architect* Candidate willfurther demonstrate skills in database design, data integration,data architecture, data warehousing, dimensional modellingregarding Kimball, data mesh* Candidate must also be highly skilledin 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 theidentification of key metrics that measure and drive long-termhealth of the business* Hands-on experience on data modelling atboth conceptual and physical level.
Experience using some modellingtool such as Oracle modeler or others* Data analytics / data scienceskills. Experience with Python (pandas, scikit-learn, Keras,TensorFlow)* Hardworking, persistent, dependable with ability toget things done* Ability to empower people to reach higherstandards* Business fluency in English, other languagesadvantageousBenefits : * Attractive salaries, excellent companypension, and health-related benefits* Supportive working culturewith flexible working arrangements* Home office equipment* Regulartraining and workshops* Support for work-life balance, mobility,and health offers
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