Senior Quantitative Analyst - Interest Rate Pricing Models

Experis Switzerland; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

Experis Switzerland in Zurich is seeking a senior data engineer to design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collection. You will define data models, ensure data security, and work with Databricks, PySpark, SQL, and cloud technologies in CI/CD environments; a strong background in data governance is expected.

Responsibilities include enabling large-scale data processing, building robust data architectures, and collaborating with

Qualifications

• 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, BI, and integrating data processing tools into pipelines
• 5+ years building end-to-end data systems using Python, Scala, or similar languages
• Strong SQL skills for data analysis and root-cause investigation
• Experience with cloud data technologies, preferably Azure, in CI/CD environments
• Experience with Databricks, PySpark, Spark Streaming, and Delta Lake
• Experience with diverse data types across storage systems and data modeling principles
• Familiarity with Azure Data Lake/Blob Storage; knowledge of Data Vault is a plus
• Knowledge of event-driven architectures (Kafka, Event Hubs, Flink) and containerized microservices (Kubernetes, Docker, Helm)
• Hands-on use of dbt and BI tools; strong communication and leadership capabilities

Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning and reporting
• Define data requirements and develop data models
• Manage and transform data across the platform
• Produce high-quality, well-tested, and secure code
• Develop and maintain software to improve data governance and security
• Develop processes to ensure Data Security and Data Quality

Skills

ETL/ELT

Data Warehousing

Data Analytics

Python

Scala

SQL

CI/CD

Data Modeling

Data Governance

Data Security

Databricks

PySpark

Spark Streaming

Azure

Kubernetes

Docker

Kafka

Flink

Data Vault

Education

Bachelor's or Master’s in Computer Science or related

Tools

Azure

Databricks

Delta Lake

dbt

Kafka

Kubernetes

Docker

Spark

Job description

Location: Zurich
Start date:ASAP
Duration: 12months – with possibility of extension

Key Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
• Define data requirements and develop data models
• Manage and transform data across the platform
• 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

Qualifications

• 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

Due to Swiss work permit restrictions, we can only consider applications from EU citizens or holders of valid working permit in Switzerland.