Julius Baer
SeniorDataEngineer–DataAnalyticsPlatform80-100%(f/m/d)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) at Julius Baer. Skills: Data Engineering, Data Platform, Data Analytics, AI. Design data pipelines. Develop data pipelines”
Industry & Context.
Diagnosing root causes; Designing effective solutions
What They're Looking For.
Must Have
Bachelor's or Master's degree, 5+ years of experience in ETL/ELT, 5+ years building data systems, Solid experience in utilising SQL, Experience with cloud-based data technologies, Experience with Databricks, Experience with PySpark, Experience with Spark Streaming, Experience with Delta Lake, Hands-on experience with structured data, Hands-on experience with semi-structured data, Hands-on experience with unstructured data
Nice to Have
Data Vault experience is a plus, dbt experience is a plus, BI tools experience is a plus
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Design backend services
Develop backend services
Maintain backend services
Manage data requirements
Produce high-quality code
Produce well-tested code
Develop software for data governance
Develop software for data security
Develop processes for data security
Develop processes for data quality
How You'll Work.
Team & Collaboration
Technical leadership to other developers
Process & Methodology
CI/CD
Full Job Description
At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. In our team, you will be a key contributor to building our Data Platform as a foundation for Data Analytics and AI. ## **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 o
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