Senior Software Engineer, Data Science

Nexthink; Deutschland; Hybrid; EUR 128.000 - 181.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Unlimited vacation

Volunteer days

Lake Geneva office view

Structured onboarding

Zusammenfassung

Nexthink seeks a Senior Software Engineer, Data Science to join the Cloud Intelligence team. You will design and ship data products, build data pipelines, and lead data-focused initiatives. The role combines software engineering rigor with data science insight.

You'll mentor engineers and data scientists, collaborate across teams, and help shape analytics capabilities powering the digital employee experience for millions of users worldwide.

Qualifikationen

• 5+ years of hands-on experience as a software engineer working on data-intensive systems
• Strong software engineering fundamentals: clean architecture, testing, CI/CD
• Proven experience with cloud-based data platforms (AWS preferred)
• Hands-on experience with Spark and data lake infrastructure
• Experience in data science or applied ML projects
• Excellent communication skills in English, with ability to explain technical concepts

Aufgaben

• Design & Ship Data Products – Architect, build, and ship reliable data products and services
• Data Lake Infrastructure – Build, scale, and maintain the data lake and pipelines
• Applied Data Science – Explore large-scale datasets to inform system design
• AI/ML Leverage – Use AI/ML to enhance development and data products
• Collaboration & Leadership – Work with data engineers, ML engineers, and product teams
• Mentorship & Coaching – Guide junior engineers and data scientists

Kenntnisse

Python

Spark

Data pipelines

CI/CD

Distributed data processing

Ausbildung

MSc/PhD in CS/DS/ML

BSc in CS/DS/ML

Tools

AWS

Pandas

NumPy

scikit-learn

SQL

Jupyter

Jobbeschreibung

Are you a software engineer with a strong data science and data engineering background, passionate about building systems that turn large-scale data into reliable products? Do you enjoy owning the full lifecycle — from pipeline architecture to the models and metrics running on top of it — and mentoring others along the way? If so, we invite you to join Nexthink as a Senior Software Engineer, Data Science on our Cloud Intelligence team!

As a key member of Cloud Intelligence, you will design and ship the data products, pipelines, and services that power our data lake, experimentation, and analytics capabilities — helping shape the digital employee experience for millions of users worldwide. This is an engineering-led role: you'll bring strong software engineering judgment first, paired with the data science skills to know what's worth building.

Responsibilities

• Design & Ship Data Products – Architect, build, and ship reliable, well-documented data products and services (from pipelines to APIs) that internal teams and external customers can depend on.
• Data Lake Infrastructure – Build, scale, and maintain the data lake and its underlying pipelines (e.g., using Spark), ensuring data is reliably ingested, processed, and structured for both analytical and production use.
• Applied Data Science –Explore large-scale datasets to uncover patterns, quantify product impact, and inform the design of the systems and metrics your team builds.
• AI/ML Leverage – Leverage AI to enhance the development process and the quality of the software and data products your team delivers.
• Collaboration & Leadership – Work closely with data engineers, ML engineers, and product teams to align data capabilities with business needs across the stack.
• Mentorship & Coaching – Guide and support junior engineers and data scientists, fostering a culture of learning and knowledge sharing.
• BSc/Master's degree (or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
• 5+ years of hands-on experience as a software engineer working on data-intensive systems, ideally with direct data science or applied ML exposure.
• Strong software engineering fundamentals — clean architecture, testing, CI/CD — applied to data and ML workflows.
• Hands‑on experience with distributed data processing frameworks (e.g., Spark) and building/maintaining data lake infrastructure at scale.
• Proven experience with cloud-based data platforms (AWS preferred).
• Strong proficiency in Python and standard data tooling (e.g., pandas, NumPy, scikit‑learn, SQL).
• Solid data intuition: ability to inspect raw logs, design metrics, and quickly identify quality regressions.
• Working knowledge of experimental design, statistical inference, and A/B testing methodology.
• Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
• Strong communication skills in English, capable of explaining complex technical concepts to both technical and non-technical stakeholders.
• Eagerness to learn and adapt.

If you're excited about designing and shipping data products at scale, and mentoring the next generation of engineers and data scientists, we'd love to hear from you!

All your information will be kept confidential according to EEO guidelines.

We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’s IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.

With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages.

Check what we offer:

• Permanent Contract and a competitive compensation package.
• Beautiful office with a view of Lake Geneva, conveniently located next to the Prilly-Malley train station
• Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.
• Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25days of holidays we offer)plus 3 company-paid volunteer days.
• Free access to a fitness …