Senior Data Engineer – Data Analytics Platform

Experis Schweiz; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Experis Schweiz is seeking a skilled Data Engineer for a 12-month project in Zurich. The role focuses on designing, developing, and maintaining data pipelines and backend services for real-time decisioning, reporting, and data governance.

You will work across data modeling, cloud data technologies, and CI/CD in a hybrid environment. Qualifications include 5+ years in ETL/ELT, data warehousing, Python/Scala, SQL, and experience with Azure, Databricks, and Delta Lake.

Qualifikationen

• 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 ETL/ELT, data warehousing, BI, and data pipeline integration.
• 5+ years building end-to-end data systems using Python, Scala, or similar languages.
• Strong SQL skills for data analysis, root-cause investigation, and solution design.
• Experience with Azure cloud data technologies in CI/CD environments.
• Experience with Databricks, PySpark, Spark Streaming, and Delta Lake.
• Hands-on experience with varied data storage systems and data governance concepts.

Aufgaben

• 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.

Kenntnisse

ETL/ELT

Data warehousing

Data modeling

CI/CD

Python

Scala

SQL

Azure Cloud

Databricks

Big Data

Ausbildung

Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or related field

Tools

Kubernetes

Docker

Helm Charts

Azure Data Lake

Blob Storage

CI/CD tools

Delta Lake

Spark Streaming

Jobbeschreibung

Function:Project Management and Business Analysis

Remotely: Hybrid

Experis® is a global leader in IT professional resourcing, permanent recruitment, project solutions, and managed services. With over 25 years of experience in Switzerland and offices in Zürich, Basel, and Geneva, we connect top IT talent with leading companies. Our mission is to help professionals unlock their potential and thrive in dynamic, future-ready careers.

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.