Senior Data Engineer developing scalable data pipelines and collaborating with cross - functional teams at Technis. Technical guidance in a hybrid work environment based in Lausanne, Switzerland.
About the role
- Intern Data Engineer at an employee-owned company disrupting traditional printing. Design and implement data pipelines for business insights and operational efficiency.
Responsibilities
- Design, develop, and implement data pipelines that power business insights and operational efficiency across the organization.
- Gain hands-on experience working with cloud technologies, large data sets, and modern data tools.
- Collaborate with architects, data analysts, engineers, and business stakeholders to gather requirements, understand existing systems, and build reliable, scalable data solutions.
- Assist in creating data sets, performing data analysis, and building dashboards using modern BI tools.
Requirements
- Pursuing an undergraduate degree in Computer Science, Management Information Systems (MIS), Data Science, or another engineering discipline.
- Completed sophomore year of undergraduate studies.
- Completed at least one computer programming course and understand fundamental programming concepts.
- Basic or previous understanding of Python (strongly preferred).
- Understand relational databases and SQL; familiarity with PostgreSQL is a plus.
- Interest in data engineering, data analytics, and cloud technologies.
- Strong analytical and problem-solving skills with high attention to detail and accuracy.
- Effective communication skills both verbally and in writing.
- Collaborative and enjoy working with cross-functional teams.
- Proactive and resourceful in identifying, analyzing, and solving data-related challenges.
- Positive attitude, passion for learning, and willingness to take on new challenges.
- Familiar with or open to learning data visualization tools (such as QuickSight or Tableau).
- Basic understanding of cloud computing concepts, especially AWS (preferred).
Benefits
- Paid internship
- On-site presence required for hybrid work
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer designing and maintaining data pipelines for CIEE, a philanthropic institution supporting youth development. Collaborating with Data Analysts for data quality and reliability.
Senior Data Engineer responsible for designing and implementing data solutions at Harambee. Collaborating with various stakeholders to enhance technology supporting work - seekers' journeys.
Senior Consultant Data Engineer in a consultancy firm focusing on data engineering and platform development. Collaborating with diverse teams to deliver high - quality data solutions.
Senior Manager Data Engineer at Squarcle delivering technical leadership in data engineering and compliance with business objectives. Leading teams to optimize and develop data platforms for clients.
Data Engineer at Mobileye building robust data pipelines for data infrastructure. Collaborating with teams to deliver high - quality data solutions for dynamic environments.
Cloud Data Engineer at Shift, focusing on building and operating data pipelines on Azure for Australian SMEs. Collaborating across teams to enhance data integration and quality.
AI Systems & Data Engineer at HyperFi designing Databricks pipelines and managing AI systems. Collaborating on data engineering tasks and optimizing workflows in a flexible tech environment.
Engenheiro de Dados especializado em PowerBI e Lakehouse no Campos Thomaz Advogados. Foco em preparar dados para dashboards e estruturação de ambientes com Microsoft.
Data Platform Expert developing and maintaining data solutions for analysis and reporting at Magna Electronics. Collaborating with various teams to enhance data - driven decision making and insights.