Senior Data Engineer – Data Analytics Platform
Bahnhofstrasse 36, 8001 Zürich · Banken · Privatbank · >6500 · Deutsch
About Us
Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them – in their business and personal life, today and for future generations. Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo. At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders. With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners. Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes.
YOUR CHALLENGE
Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions Data Requirements and Modeling Data Management and Transformation Produce high-quality, well-tested, and secure code Develop and maintain software designed to improve data governance and security Develop processes designed to ensure Data Security and Data Quality
YOUR PROFILE
Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience 5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design 5+ years building and maintaining end-to-end data systems using Python, Scala, or similar programming languages Solid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions Experience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environments Demonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta Lake Hands-on experience with structured, semi-structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databases Familiarity with cloud storage solutions such as Azure Data Lake and Blob Storage Solid understanding of data modelling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testing Experience with event-driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerised microservices platforms (e.g., Kubernetes, Docker, Helm Charts) Knowledge and practical use of dbt (data build tool), experience with BI tools Excellent communication and collaboration skills, ability to provide technical leadership to other developers
Fähigkeiten
Python
Scala
SQL
Azure
PySpark
Kafka
Kubernetes
DockerGehaltsspanne
Auf AnfrageDieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.
Benefits
UnterstütztBYOD wird je nach Inserat unterstützt.
Kontakt
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