Если вы раньше входили через Google, сбросьте пароль для своей Gmail-почты через кнопку «Забыли пароль?» на экране входа. Затем войдите по email и новому паролю.
Если аккаунта ещё нет, зарегистрируйтесь с Gmail-почтой, после подтверждения почты мы предложим задать пароль.
Что нового
Загружаю обновления...
Что нового
Загружаю обновления...
Работа найдется быстрее с подпискойКандидат найдётся быстрее с подпиской
Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузите резюме
описание
Sparkassen Rating und Risikosysteme is the central service provider for risk management solutions within the Sparkassen-Finanzgruppe. It provides standardized solutions for risk measurement and management, regulatory bank management, sales, and data analytics.
задачи
Design, implement, and operate robust data pipelines and platforms that provide high-quality data to sales and specialist departments;
Develop and optimize ETL/ELT processes, data warehouse, and lakehouse architectures for reporting, analytics, and machine learning applications;
Model data according to data warehouse standards and ensure data quality, consistency, and traceability across the entire data flow;
Work closely with Data Scientists, analysts, specialist departments, and IT to capture requirements and translate them into scalable technical solutions;
Monitor and optimize the performance, stability, and costs of data platforms;
Ensure a high degree of automation, including CI/CD and Infrastructure as Code;
Structure work in JIRA;
Document architecture, data flows, and decisions in Confluence;
Share knowledge within the team.
требования
Completed degree in computer science, business informatics, mathematics, physics, engineering, or equivalent knowledge gained through professional experience and further training;
Several years of professional experience as a Data Engineer, DWH/BI Developer, or in a comparable role;
Lateral or functional leadership experience, or project management experience with an own project team;
Strong SQL skills and proficiency in a programming language such as Python, Scala, or Java;
Confident use of relational and ideally distributed database systems;
Experience building and operating ETL/ELT processes;
Experience with data modeling, such as Star Schema or Data Vault;
Experience working with large data volumes;
Practical experience with modern data platforms and technologies, such as Apache Spark, Kafka, Azure, AWS, GCP, or comparable on-premise solutions;
Very good German language skills, spoken and written, at C1 level;
Nice to have: experience with CI/CD, version control with Git, and container technologies such as Docker and Kubernetes.
условия
Attractive compensation package;
30 Days of vacation plus 2 bank holidays and additional special leave for personal occasions;
Company pension scheme and capital-forming benefits;
Individual internal and external training through the company academy;
Flexible working hours with flextime;
Company health management;
Contribution toward a job ticket and meal vouchers;
Company bicycle leasing through JobRad;
Free current account management including a Visa Card Gold at Berliner Sparkasse;
Internal meetups, afterworks, summer parties, and Christmas parties.