Senior Data Engineer - Real-Time Pipelines (Zurich)

Experis Switzerland; Zürich; On-site; CHF 110,000 - 165,000; Full time

Job summary

Experis Switzerland is hiring for a data engineering role in Zurich to design and maintain data pipelines and backend services for real‑time decisioning, reporting, and governance. You will define data models, manage data across the platform, and ensure secure, well-tested code.

The ideal candidate has 5+ years in ETL/ELT, data warehousing, and building end‑to‑end data systems with Python/Scala, plus strong SQL and cloud experience (Azure).

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 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, 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 (Data Vault a plus) and strong skills in system design, implementation, and testing.
• Experience with event‑driven architectures (Kafka, Event Hubs, Apache Flink) and containerised microservices platforms (Kubernetes, Docker, Helm Charts).
• Knowledge of dbt and BI tools.

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.

Skills

ETL/ELT

Data warehousing

Python/Scala

SQL

Azure Cloud

CI/CD

Databricks

PySpark

Kubernetes

Docker

Data modelling

Data Vault (plus)

Data governance

Kafka/Event Hubs

Education

Bachelor's or Master’s in CS/Data Analytics/IS

Tools

dbt

Azure Data Lake

Delta Lake

Spark

Kafka

Kubernetes

Docker

Databricks

Job description

Experis Switzerland is hiring for a data engineering role in Zurich to design and maintain data pipelines and backend services for real‑time decisioning, reporting, and governance. You will define data models, manage data across the platform, and ensure secure, well-tested code.

The ideal candidate has 5+ years in ETL/ELT, data warehousing, and building end‑to‑end data systems with Python/Scala, plus strong SQL and cloud experience (Azure).