C
Senior Data Engineer – ML Data Platform (m/w/d) 🏆
Consulteer
Meggen · Hybrid Senior CHF 120 – CHF 200/hr 2d ago
About the role
About
Senior Data Engineer – ML Data Platform (m/w/d)
Salary: 120 - 200 CHF per HOUR
At Consulteer AG we are looking for a Data engineer!
Tech Stack
- AI
- Azure
- Backend
- Cloud
- Flow
- Support
- Java
- Machine Learning
- Mendix
- Python
- Robotics
- Security
- VR
- ROS
- Data
Requirements
- 5+ years of professional experience in data engineering, machine learning infrastructure, or related fields.
- Strong experience designing and building large-scale data pipelines and distributed data processing systems.
- Solid experience working with cloud-based data platforms and storage systems (Azure or similar cloud platforms preferred).
- Experience working with datasets for machine learning systems, ideally including multimodal data.
- Strong programming skills in Python and familiarity with modern data engineering tools and workflows.
- Experience working with high-volume data ingestion, data processing pipelines, and dataset versioning.
- Familiarity with robotics data pipelines or ROS2-based ecosystems is beneficial but not required.
- Strong problem-solving skills and the ability to collaborate effectively with cross-functional technical teams.
Responsibilities
- Design, build, and maintain scalable data pipelines that support the full data lifecycle—from collection and annotation to quality assurance, governance, and cloud storage.
- Develop and optimize infrastructure that enables high-quality datasets to flow efficiently into machine learning training pipelines.
- Contribute to the design and evolution of a cloud-based data platform, including ingestion pipelines, labeling workflows, dataset cataloging, versioning, and compliance.
- Implement processes and tooling that improve data quality, reliability, and observability across the data lifecycle.
- Work closely with research and engineering teams to support the creation and management of large-scale datasets for advanced machine learning models.
- Support data collection and integration workflows from robotics and sensor‑based systems, including environments built on ROS2 or similar frameworks.
- Contribute to best practices for data engineering, documentation, testing, and reproducible data pipelines.
Location
Riedweg 6, Luzern, Switzerland
Category
Data Developer / Engineer
Salary
120 - 200 CHF per HOUR
Benefits & Perks
- 40‑hour work week
- 4 weeks (20 days) vacation
- Accident insurance
- Annual Bonus pay
- Career paths and annual reviews
- Choose your hardware
- Coaching & mentoring
- Coffee, tea
- Company workshops and knowledge sharing
- Cool office
- Flexible work time
- Fresh fruits
- Hybrid work
- International team
- Individual educational training budget
- Maternity/Paternity leave
- Mobile phone subscription
- Option to buy more vacation days
- Part‑time possible
- Pet friendly office
- Pizza Day
- Snacks & drinks
- Sabbatical possibility
- Standing desk
- Team social events
- Well connected office
- Home office / Remote 2 days per week
About Consulteer AG
How we act.
All For One.
Support, collaborate and achieve greatness with a team of like‑minded people.
We Care & Grow. Together.
Unlock your potential and be ready to grow with us. We will support you in every step of your journey.
Accountability & Commitment.
Walk the talk :) Everyone of us takes responsibility.
Application
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Requirements
- 5+ years of professional experience in data engineering, machine learning infrastructure, or related fields.
- Strong experience designing and building large-scale data pipelines and distributed data processing systems.
- Solid experience working with cloud-based data platforms and storage systems (Azure or similar cloud platforms preferred).
- Experience working with datasets for machine learning systems, ideally including multimodal data.
- Strong programming skills in Python and familiarity with modern data engineering tools and workflows.
- Experience working with high-volume data ingestion, data processing pipelines, and dataset versioning.
- Strong problem-solving skills and the ability to collaborate effectively with cross-functional technical teams.
Responsibilities
- Design, build, and maintain scalable data pipelines that support the full data lifecycle—from collection and annotation to quality assurance, governance, and cloud storage.
- Develop and optimize infrastructure that enables high-quality datasets to flow efficiently into machine learning training pipelines.
- Contribute to the design and evolution of a cloud-based data platform, including ingestion pipelines, labeling workflows, dataset cataloging, versioning, and compliance.
- Implement processes and tooling that improve data quality, reliability, and observability across the data lifecycle.
- Work closely with research and engineering teams to support the creation and management of large-scale datasets for advanced machine learning models.
- Support data collection and integration workflows from robotics and sensor-based systems, including environments built on ROS2 or similar frameworks.
- Contribute to best practices for data engineering, documentation, testing, and reproducible data pipelines.
Benefits
40-hour work week4 weeks (20 days) vacationAccident insuranceAnnual Bonus payCareer paths and annual reviewsChoose your hardwareCoaching & mentoringCoffeeteaCompany workshops and knowledge sharingCool officeFlexible work timeFresh fruitsHybrid workInternational teamIndividual educational training budgetMaternity/Paternity leaveMobile phone subscriptionOption to buy more vacation daysPart-time possiblePet friendly officePizza DaySnacks & drinksSabbatical possibilityStanding deskTeam social eventsWell connected officeHome office / Remote 2 days per week
Skills
AIAzureBackendCloudDataFlowJavaMachine LearningMendixPythonRoboticsROSSecuritySupportVR
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