Elca informatique SA
Bern
Yesterday
Junior / Professional Data Engineer
- 06 March 2026
- 100%
- Bern
Job summary
Join our Data, Analytics & AI team driving tech solutions for clients. Exciting projects, collaborative culture, and great benefits await!
Tasks
- Collaborate on innovative Data Analytics platforms with experts.
- Implement high-quality data pipelines and AI applications.
- Develop components for data management across various sources.
Skills
- Degree in Computer Science or related field with programming skills.
- Experience with SQL, Spark, and Kafka from studies or internships.
- Interest in building modern cloud data platforms and AI applications.
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About the job
Our business line «Data, Analytics & AI» is responsible for providing and utilizing technology platforms that promote the value creation of our customers. The numerous exclusive projects vary in scope, industries, and companies.
We are looking for a motivated person for the role of Junior/Professional Data Engineer. You have a flair for data and AI and initial experience in implementing data pipelines and AI applications to process heterogeneous and large data volumes and provide insights for our customers. You have an interest in the latest analytics and AI technologies and have the corresponding theoretical background from your studies.
Your tasks
- As a Data AI Engineer, you work on challenging projects together with Data Engineers, Architects, and Scientists to build and operate state-of-the-art data analytics platforms. The role requires technical skills in analytics ecosystems with a focus on cloud infrastructure and open-source software
- You participate in one or more cloud data platform projects and help implement high-quality data pipelines, cloud data infrastructures, and AI applications
- You develop and configure components that manage data ingestion, real-time streaming, batch processing, data extraction, and transformation across multiple data sources and applications
- You help meet customer requirements regarding functionality, performance, availability, scalability, security, and reliability
- You work with business analysts and data scientists and help make the latest data AI technologies usable for our customers
Our offer
- Opportunity to expand your expertise through diverse projects and unique products, latest technologies, and customers from various industries
- Attractive prospects through continuous training, coaching, and an internal career path
- Our culture makes the difference! We actively live flat hierarchies and open, helpful collaboration across all disciplines and departments
- We organize regular events such as brown bag lunches and coding events as well as cozy and sporty off-site gatherings
- Good work-life balance (flexitime, home office), modern and flexible workplace in a multicultural environment
- Top benefits such as: vacation purchase of up to 13 days, contribution to private mobile phone or business phone, half-fare travelcard, business travel in 1st class, flexible pension fund models, coverage of daily sickness and accident insurance (private, worldwide), and much more
Your profile
- University degree ETH/UNI/FH with corresponding programming experience in Python or Scala
- Experience with SQL, Spark, Kafka from studies, internships, or initial professional experience. First experiences with cloud and data platforms are a plus
- Experience with Linux, networking, web services, and containers. Initial experience with infrastructure as code (e.g., Terraform) is a plus.
- Interest in building modern cloud data platforms and implementing AI applications using current DevOps principles
- Strong analytical and problem-solving skills
- Enjoy working in a team but also independently
- Willingness to travel and willingness to work at least 1 day on-site with the customer
- Fluent in German and English
We rely on healthy values and are convinced that diversity is the key to success. Those who approach challenges with curiosity, motivation, and drive are exactly right with us! Let yourself be inspired by our motto: We make it work!