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Staff Data Engineer
CHF 95’000 - 125’000
On
Förrlibuckstrasse 190, Zürich District
CHF 95’000 - 125’000
Requirements
Must:
- Deep Understanding of Data Platform Technologies: You possess a strong understanding of data processing concepts, architectures, and technologies for batch and analytical workloads. You are proficient in at least one major data processing framework (e.g., Spark) and have experience building and maintaining production-level data pipelines and platform components.
- Data Governance and Discoverability: You understand the importance of data governance and have experience with or a strong interest in data catalog tools and practices to improve data discovery, metadata management, and data lineage within the platform.
- Cloud and Platform Expertise: You are familiar with data platform solutions on cloud-based platforms (e.g., GCP BigQuery, AWS Redshift, Snowflake, Databricks) and have experience with infrastructure as code and platform management.
- Communication and Collaboration: You have exceptional communication and interpersonal skills, enabling you to build strong relationships with stakeholders across the organization.
Responsibilities
- Design and Develop Scalable Infrastructure: Lead the design, development, and implementation of a robust and scalable data platform to support On's growing data needs. This includes technologies and concepts like data warehousing, data lakes, ETL frameworks, distributed processing systems (e.g., Spark), and data modeling (dbt).
- Ensure Data Quality and Reliability: Implement processes and tools to ensure the quality, reliability, and availability of data pipelines and the data platform infrastructure.
- Collaborate and Mentor: Work closely with data engineers, data scientists, and other teams to integrate various data solutions into On's data ecosystem. Mentor engineers and share your expertise.
- Embrace New Technologies: Stay abreast of the latest advancements in data platform technologies and contribute to the continuous improvement of On's data platform.
Description
You will be part of a talented and diverse team of data engineers, data scientists, and product managers focused on building and revolutionizing the use of the data platform across the organization. We are building innovative data solutions to optimize internal processes, enhance customer experiences, and drive business growth. On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically - to stay active, to learn, explore, and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose. On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
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You can find Data Engineer salaries in Switzerland here.
How many Data Engineer jobs are in Switzerland?
Currently, there are 234 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is Switzerland a good place for Data Engineers?
Switzerland is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in Switzerland?
CONVOTIS Swiss Cloud AG, Genius Sports, Cyberlink AG, LST AG, Kadoa, healthinal, Swissquote among others, are currently hiring for Data roles in Switzerland.
The company with most openings is Innovation Process Technology AG as they are hiring for 23 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.
The company with most openings is Innovation Process Technology AG as they are hiring for 23 different Data Engineer jobs in Switzerland. They are probably quite committed to find good Data Engineers.