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Switzerland Data Engineer Jobs (NOW HIRING)

Further

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can ...

Further

Senior Data Engineer

Cleveland, OH · Hybrid

$102K - $139K/yr

SENIOR DATA ENGINEER We are looking for a highly skilled and strategic Senior Data Engineer to lead ... If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can ...

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RUAG

Analysis Engineer

Trinity, AL · On-site

... Switzerland, Beyond Gravity is not your typical space company. We're a unique blend of agility ... Apply MATLAB for data analysis and modeling. * Demonstrate proficiency in classical analysis ...

RUAG

Analysis Engineer

Trinity, AL · On-site

... Switzerland, Beyond Gravity is not your typical space company. We're a unique blend of agility ... Apply MATLAB for data analysis and modeling. * Demonstrate proficiency in classical analysis ...

Further

Cloud Migration Engineer

Cleveland, OH · On-site

$54 - $72.25/hr

Cloud Migration Engineer You are the engineer clients trust to move their infrastructure to GCP ... Area, Switzerland or the United Kingdom, you can read about our data practices and your related ...

Further

Cloud Migration Engineer

Cleveland, OH · Hybrid

$54 - $72.25/hr

Cloud Migration Engineer You are the engineer clients trust to move their infrastructure to GCP ... Area, Switzerland or the United Kingdom, you can read about our data practices and your related ...

UBS

Gen-AI Data Scientist Lead

New York, NY · On-site

$140K - $180K/yr

... software engineering and reproducible research • design, build, and maintain LLM evaluation ... Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. We ...

UBS

Data Scientist

New York, NY · On-site

$105K - $130K/yr

... using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive ... Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. We ...

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All JobsSwitzerland Data Engineer Jobs

Switzerland Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do switzerland data engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for switzerland data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Can a foreigner get a job in Switzerland?

A foreigner can get a job as a Switzerland Data Engineer if they meet the necessary work visa and permit requirements. Employers often need to demonstrate that no suitable Swiss or EU/EFTA candidate is available before hiring a non-resident. Knowledge of local regulations, language skills, and relevant technical certifications can facilitate the process.

How much do data engineers make?

Data engineers in Switzerland typically earn between CHF 70,000 and CHF 120,000 annually, depending on experience, skills, and location. Senior roles with expertise in big data tools and cloud platforms can offer higher salaries, often exceeding CHF 130,000.

What is the difference between Switzerland Data Engineer vs Switzerland Data Analyst?

AspectSwitzerland Data EngineerSwitzerland Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilds data pipelines, manages databases, works with cloud platformsInterprets data, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcareMarketing firms, retail, consulting

Switzerland Data Engineers focus on designing and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles often collaborate but serve different functions within data teams.

What are some common challenges faced by Data Engineers working in Switzerland, and how can they be addressed?

Data Engineers in Switzerland often encounter challenges such as integrating data from diverse sources, ensuring compliance with strict data privacy regulations like GDPR, and maintaining high data quality across distributed systems. To address these, it's important to stay updated on local and EU data protection laws, collaborate closely with data privacy and security teams, and adopt robust data validation and monitoring frameworks. Working in cross-functional teams with clear communication channels also helps streamline integration and ensure data consistency.

Which country is best for data engineer jobs?

The best countries for data engineer jobs typically have strong tech industries, high demand for data professionals, and competitive salaries, such as the United States, Canada, Germany, and the United Kingdom. These countries often offer opportunities in finance, technology, and healthcare sectors, with roles requiring skills in SQL, Python, and cloud platforms like AWS or Azure.

Which job is in high demand?

Data engineering is currently in high demand, especially roles involving big data, cloud platforms, and programming skills in Python or SQL. Professionals with expertise in data pipelines, ETL processes, and tools like Apache Spark or Hadoop are highly sought after across various industries.

What are Switzerland Data Engineers?

Switzerland Data Engineers are professionals who design, build, and maintain the infrastructure that allows organizations in Switzerland to collect, store, and analyze large volumes of data. They work with various data platforms, databases, and cloud technologies to ensure data is accessible, reliable, and secure. Their role often involves collaborating with data scientists and analysts to deliver data solutions that support business decision-making in sectors like finance, healthcare, and technology. Fluency in English, and sometimes German or French, is commonly required due to Switzerland's multilingual environment. They are in high demand due to the country's advanced digital economy and strong data privacy regulations.

What are the key skills and qualifications needed to thrive as a Data Engineer in Switzerland, and why are they important?

To thrive as a Data Engineer in Switzerland, you need strong expertise in SQL, data modeling, ETL processes, and a relevant degree in computer science or a related field. Familiarity with tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, or GCP), and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valued. Excellent problem-solving skills, teamwork, and effective communication set outstanding candidates apart. These skills ensure robust data pipelines, efficient collaboration with stakeholders, and the delivery of high-quality data solutions that drive business success.
More about Switzerland Data Engineer jobs
What cities are hiring for Switzerland Data Engineer jobs? Cities with the most Switzerland Data Engineer job openings:
What states have the most Switzerland Data Engineer jobs? States with the most job openings for Switzerland Data Engineer jobs include:
What job categories do people searching Switzerland Data Engineer jobs look for? The top searched job categories for Switzerland Data Engineer jobs are:
Switzerland Data Engineer jobs near you
Infographic showing various Switzerland Data Engineer job openings in the United States as of June 2026, with employment types broken down into 25% As Needed, and 75% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

Further

Cleveland, OH • On-site

$102K - $139K/yr

Full-time

Posted 27 days ago

Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
SENIOR DATA ENGINEER
We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.
What experience should you have:
  • 6+ years of data engineering experience with a focus on modern cloud platforms.
  • Expert-level proficiency in Python and SQL is mandatory.
  • Strong software engineering background with proficiency in Python for building custom integrations and data tools.
  • Deep production experience with dbt for data modeling and Airflow for orchestration.
  • Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
  • Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
  • Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
  • Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications
  • Experience architecting feature stores or data pipelines specifically for ML workloads.
  • The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
  • A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
  • An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you'll be doing in this role:
  • Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
  • Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
  • Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
  • Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:
  • Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
  • Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
  • Standardize the organization's approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
#LI-Hybrid
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

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