1

Switzerland Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

Senior Data Engineer

Cedar Brook, NJ · On-site +1

$104K - $142K/yr

You'llsupport portfolio teams by enabling governance-aligned data engineering practices, ensuring data is produced in a consistent, secure, and scalable way without owning team data products or ...

... 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 ...

... 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 ...

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 ...

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 ...

next page

Showing results 1-20

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 Sep 2, 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.

What is a Switzerland data engineer?

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.

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.

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.

Are data engineers in demand?

Data engineers are in high demand across many regions due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in programming, cloud platforms, and data pipeline management are particularly valuable, and the role often requires knowledge of tools like SQL, Python, and Apache Spark.

How much does a Switzerland Data Engineer make?

A Data Engineer in Switzerland typically earns between CHF 70,000 and CHF 110,000 annually, depending on experience, skills, and the industry. Senior roles or those with expertise in big data tools and cloud platforms may offer higher salaries. Compensation can also vary based on location and company size.
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:

Infographic showing various Switzerland Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$148.70 - $223.05/hr

Other

Posted yesterday

New


Job description

## Advanced Data EngineerApplylocations: Schlierentime type: Full timeposted on: Posted Todayjob requisition id: JR100885Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses. If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.**The role**Zühlke is internationally recognized for expertise in developing Data Platforms and data-driven solutions for customers in many different industries. We are investing heavily in global growth in AI & Data. We believe that Data will have a positive impact on our society and environment. Data allows us to address urgent yet unsolved problems in a broad range of fields, from specific applications within organisations to problems of global significance.As an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines. You work closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.**How you’ll make an impact*** Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.* Communicating the “what”, “why” and “how” of proposed solutions to technical and non-technical stakeholders.* Developing, testing, and monitoring distributed data processing pipelines.* Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.* Collaborating with other data roles such as Architects, Software Engineers, and Data Scientists with ease.* Understanding the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements.* Delivering projects in an Agile way, building iteratively to produce value from data early and frequently.* Keeping yourself technically sharp, being open to learning new concepts and technologies.**What’s important to us*** You have a university degree (ETH, Uni, FH) in computer science, software engineering, data science, or a comparable education.* At least 3 years in data or software engineering positions* Experience in designing, building, and maintaining data products that meet the needs of data consumers.* An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.* Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing)* Experience with Cloud Data Platforms like Databricks, Snowflake, Microsoft Fabric or Amazon Sagemaker.* Practical data programming skills in Python and SQL.* Hands-on skills or a keen interest in such technologies as Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and programming languages (Scala, R, Java, Typescript or .NET).* Hands-on experience with both relational and non-relational databases.* Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.* Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).* Experience with agile development and DevOps methodologies.* Fluency in both German and English is required for this position.**What we offer*** **Work life blend:** we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home* **Profit share scheme:**In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year* **Global and Diverse Zühlke community:**witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.* **Committed to development:**we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.To dive deeper into local benefits of working in **Zühlke follow****the**link. If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application! We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status. #J-18808-Ljbffr