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Senior Data Engineer
CHF 95’000 - 125’000
On
Förrlibuckstrasse 190, Zürich
CHF 95’000 - 125’000
Requirements
Must:
- Working knowledge of data warehousing, data modeling, and ELT concepts, with experience in SQL programming.
- Strong programming skills in Python, Scala, or equivalent.
- Experience with modern data tools, specifically built on GCP and using BigQuery, Airflow, dbt, Looker, and Hex.
- Familiarity with software engineering concepts, including git, testing, debugging, research, and technical problem solving.
- Excellent communication skills with the ability to translate business requirements into data solutions.
- Experience mentoring other data engineers, data analysts, and data scientists, increasing data literacy in less technical teams.
- A curious mind and a passion for continuous learning.
Bonus:
- Experience working with product master and lifecycle data technologies.
- Experience working with infrastructure as code tools (Terraform).
- Experience in data observability and distributed data ownership.
Responsibilities
- Drive the design of data models and build data pipelines.
- Automate builds and deployments using CI/CD.
- Decipher APIs while leveraging SQL to provide clean, tested, documented, and well-defined data.
- Provide guidance to other data engineers and analysts regarding architectural and design decisions.
- Support tech teams responsible for product master data modeling efforts and evangelize best practices and governance policies.
- Act as a point of contact for one or more business teams to create relevant data products that enhance the quality and adoption of product master data.
- Collaborate closely with fellow data engineers and analysts to develop data products further.
Description
As On is growing, so are our data needs. You will play an important role in shaping the data roadmap while optimizing existing and new data products. Your first 6 months at On will include getting to know the data landscape, resolving change requests, participating in code reviews, introducing new data sources, and seeking opportunities to simplify and streamline data management systems. Meet the data enablement team, responsible for building, maintaining, and growing internal data platforms, data products, and processes that empower everyone at On to make informed decisions. We are a team of data engineers working in smaller workstreams of data engineers, data analysts, and stakeholders to deliver valuable data products for the company. On is a place centered around growth and progress, offering an environment designed for holistic development. We combine a supportive, team-oriented atmosphere with access to personal self-care for both physical and mental well-being. We are an Equal Opportunity Employer, committed to creating a fair and inclusive work environment.
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You can find Data Engineer salaries in Switzerland here.
How many Data Engineer jobs are in Switzerland?
Currently, there are 326 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.