Data Analytics Engineer

About Mobility:

Summarizing the way Mobility works in one word? Nearly impossible. Let’s use four instead: MORK means “more than just work.” As pioneers in car sharing, our goal is shaping the mobility of tomorrow with a strong commitment to sustainability. We embrace today’s challenges and tackle them without hesitation. MORK is about atmosphere, constant mutual support, great flexibility, valuable benefits, and above all—a meaningful impact. It’s about your contribution to a better future.

Role Overview:

We are seeking an experienced Data Analytics Engineer for our new Office in Morbio, Canton Ticino, to join our dynamic Data team. In this role, you will be responsible for building and optimizing scalable data pipelines and models that power analytics, business insights, and data-driven decisions across the organization. You will collaborate closely with analytics, business, and product teams to understand data requirements, and ensure reliable and secure data integration within our cloud-based infrastructure.

Key Responsibilities

• Design, maintain, and optimize scalable ETL/ELT pipelines to integrate diverse data sources into Azure Data Factory (on-premises, cloud, APIs, etc.)
• Support the operation and continuous development of our data platform (e.g., dbt, Snowflake, Azure Data Factory)
• Integrate and historize data in the data warehouse and develop robust interfaces for downstream applications
• Monitor and troubleshoot data flows and pipelines to ensure high reliability and performance
• Contribute to the automation and efficiency of data transformation processes
• Support the deployment of machine learning models into production, including orchestration and monitoring of model pipelines
• Model clean, reusable, and well-documented data structures using tools like dbt and Power BI Cloud
• Work closely with analytics, business, and product teams to understand data needs and implement effective data preparation solutions
• Ensure implementation of and compliance with best practices in data governance, quality, and security

Requirements

• Degree in Computer Science, Data Engineering, Business Informatics, or a related field—or equivalent professional experience
• Strong analytical thinking, high initiative, and a structured, proactive working style
• Experience with modern cloud data platforms (e.g., Snowflake, Azure Data Factory)
• Solid SQL skills and a good understanding of modern data modeling techniques (e.g., star schema)
• Hands-on experience with ETL/ELT tools and frameworks, especially dbt
• Practical experience in designing and maintaining data warehouse architectures using best practices in data engineering
• Experience in integrating and historizing CRM data sources—especially Salesforce—is a plus
• Familiarity with production-level ML pipelines and their orchestration/monitoring
• Proficiency in at least one programming language for data processing and automation (e.g., Python)
• Experience with version control systems (e.g., Azure DevOps, Bitbucket) is an advantage
• Strong English skills, German is highly appreciated

What We Offer

• A dynamic and innovative workplace that values collaboration.
• Opportunities to work on impactful projects with modern technologies.
• Professional growth and skill development programs.
• Competitive salary and benefits package.
• A commitment to fostering a work-life balance.

How to Apply:

Are you passionate about building scalable data solutions and driving data-informed decisions? Submit your CV highlighting your relevant experience and technical skills, and help us shape the future of sustainable mobility through data! We look forward to hearing from you.