80 - 100%

Senior Data Engineer – Data Analytics Platform r-19553

12 months with option of extension Zurich
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Employment type Contract
Industry Banking
Area IT
Location Zurich
Remote from abroad? No
Home office? 40 %
Contract duration 12 months with option of extension
01
Tasks and responsibilities
  • 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

02
Must-have criteria
  • 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

03
Contract duration
  • 12 months with option for extension

04
Language requirements
  • Fluent English

05
Application form