C
Data Engineering Team Lead (ML & Robotics Data) (m/w/d) 🏆
Consulteer
Meggen · Hybrid Lead CHF 120 – CHF 200/hr 2d ago
About the role
About
Data Engineering Team Lead (ML & Robotics Data) (m/w/d) 💰 Salary: 120 - 200 CHF per HOUR
At Consulteer AG we are looking for a Data engineer!
Tech Stack
AI, Angular, Architect, Big Data, Cloud, Support, Machine Learning, Mendix, Python, Robotics, Security, VR, ROS, Data
Requirements
- 3+ years of experience leading or managing technical teams in a fast-paced environment.
- 5+ years of professional experience in data engineering, machine learning systems, cloud infrastructure, or related domains.
- An advanced degree (Masters or PhD) in Computer Science, Machine Learning, Data Engineering, or a related field.
- Proven ability to design and scale large-scale data pipelines, data platforms, or cloud-based storage systems.
- Experience building or managing datasets for deep learning systems, ideally including multimodal data.
- Experience with data lifecycle management, data collection operations, or high-throughput cloud data platforms is a strong advantage.
- Strong foundations in Python, cloud data tooling, and modern data/ML engineering practices.
- Experience working within robotics ecosystems (ROS2 or similar frameworks) is beneficial but not required.
Responsibilities
- Define the dataset strategy and roadmap to support scalable and diverse training data for advanced machine learning models in close collaboration with research teams.
- Architect and continuously improve a robust cloud-based data platform (including ingestion, labeling workflows, cataloging, versioning, and compliance processes).
- Operationalize the data lifecycle with clear processes, KPIs, and feedback loops spanning data collection, model training, and deployment.
- Lead and mentor a high-performing data team, fostering technical excellence, ownership, and continuous professional growth.
- Partner closely with Product, Research, and Engineering teams as the central point of contact for data strategy and data-related initiatives.
- Collaborate with robotics and systems teams to support data collection and integration workflows within robotics environments (e.g., ROS2-based systems).
Location
Riedweg 6, Luzern, Switzerland
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
Lets shape the future together!
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.
Additional Info
View this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on SwissDevJobs
Category: Data Developer / Engineer
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Requirements
- 3+ years of experience leading or managing technical teams in a fast-paced environment.
- 5+ years of professional experience in data engineering, machine learning systems, cloud infrastructure, or related domains.
- An advanced degree (Masters or PhD) in Computer Science, Machine Learning, Data Engineering, or a related field.
- Proven ability to design and scale large-scale data pipelines, data platforms, or cloud-based storage systems.
- Experience building or managing datasets for deep learning systems, ideally including multimodal data.
- Strong foundations in Python, cloud data tooling, and modern data/ML engineering practices.
Responsibilities
- Define the dataset strategy and roadmap to support scalable and diverse training data for advanced machine learning models in close collaboration with research teams.
- Architect and continuously improve a robust cloud-based data platform (including ingestion, labeling workflows, cataloging, versioning, and compliance processes).
- Operationalize the data lifecycle with clear processes, KPIs, and feedback loops spanning data collection, model training, and deployment.
- Lead and mentor a high-performing data team, fostering technical excellence, ownership, and continuous professional growth.
- Partner closely with Product, Research, and Engineering teams as the central point of contact for data strategy and data-related initiatives.
- Collaborate with robotics and systems teams to support data collection and integration workflows within robotics environments (e.g., ROS2-based systems).
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
AIAngularBig DataCloudDataMachine LearningMendixPythonRoboticsROSSecuritySupportVR
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