Our Data Pricing TEAM is looking for a Analytics Engineer/Data Analyst (f/m/d) on an apprenticeship basis, located in Paris/Lille starting September 2026.

OUR TEAM

Within an agile team of 5 to 6 analytics professionals (Business Intelligence, Data Analysts, Analytics Engineers) based in Lille and Paris, we drive Decathlon's global pricing strategy. Our challenge? Steering performance during peak commercial seasons ("In-Season") and turning data into growth opportunities. You will have a direct impact on our global pricing relevance and the satisfaction of our sport users.

YOUR FUTURE CONTRIBUTION

Under the guidance of your mentor, you will bridge the gap between raw data and business decisions: 

• End-to-End Data Delivery: Work across the entire data lifecycle, from data extraction to the creation of decision-support dashboards.
• Ad-hoc Analysis: Explore and analyze data to answer complex business questions (price elasticity, margin analysis, promotional impact).
• Data Engineering: Design and maintain robust data pipelines using dbt to feed our pricing use cases and automate reporting.
• In-Season Monitoring & Strategic Insights: Help set up real-time performance indicators to adjust the commercial strategy.
• Data Culture: Simplify and present your findings, while challenging business needs to provide true strategic value. 

WHAT YOU BRING

• Education: Pursuing a Master's degree in Data, Engineering, or a related field.
• Soft Skills: Proactive, team player, and a strong "growth mindset." You are eager to learn and innovate.
• Hybrid Skills: You enjoy both technical modeling (SQL/code) and business storytelling.
• Critical Thinking: You don't just deliver numbers; you analyze them with business acumen and are comfortable challenging the status quo.
• Experience: A previous internship or project in the Data field is a plus

TECHNICAL STACK

• Must-have: Strong command of SQL.
• Nice-to-have: dbt, Python, Databricks, Git, Airflow, and Tableau.

WHAT WE OFFER

• Working equipment provided (Mac or Windows).
• Local project team within a global network (international career opportunities).
• Skills development and mentorship.
• Competitive compensation package (shareholding, bonuses).

OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY

At Decathlon, we recognize the immense value that diversity brings to our teams, and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people from all backgrounds and abilities to apply, as we are convinced that diversity of thought, culture, identity, and lived experience makes us strong.

Decathlon is also committed to providing an inclusive and accessible selection process for all candidates. If you need any adjustments, you can request them via the application form, and this information will remain confidential. These requests do not affect the outcome of the recruitment process.

Who we are

The role

At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and real-world robustness.

You will be part of a team pushing the boundaries of autonomous robotics through reinforcement learning. Your work will focus on designing, training and deploying RL-based controllers for robots operating in complex, unstructured, and dynamic real-world environments — where classical control approaches fall short. This includes enabling robots to perceive and understand their surroundings by fusing rich sensory inputs, including vision, to inform robust and adaptive control. You will own the full pipeline from simulation to deployment, ensuring that learned policies are robust, efficient, and ready for real-world operation under tight hardware constraints.

You should apply if you

• Hold an MSc or PhD in Robotics, Machine Learning, Control Engineering, or a closely related field, with a strong focus on reinforcement learning and robot control.

• Have hands-on experience training and deploying RL-based controllers on real robotic hardware, not just in simulation — you have seen your policies fall, iterate, and ultimately succeed on a physical system.

• Are deeply familiar with modern RL techniques for continuous control, including but not limited to: model-free methods (PPO, SAC, TD3), model-based RL, hierarchical RL, sim-to-real transfer strategies, domain randomisation, and curriculum learning.

• Have a solid understanding of robot dynamics, kinematics, and classical control theory (e.g. PID, model predictive control, trajectory optimisation), and know when and how to combine them with learned approaches.

• Are proficient in building and working with physics-based simulators (e.g. MuJoCo, Isaac Gym/Isaac Lab, PyBullet, Gazebo) for training and validating RL policies.

• Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying AI software to production including testing, QA, and monitoring.

• Have excellent communication skills and the ability to report and present research findings clearly and efficiently, both internally and externally.

• Are passionate about keeping up to date with current research and enjoy re-implementing and extending state-of-the-art papers.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• PhD in Robotics, Reinforcement Learning, Control Engineering, or related fields, with publications in top-tier venues (e.g. CoRL, ICRA, NeurIPS, ICLR, IROS, RSS).

• Experience developing controllers for highly dynamic robotic systems operating under complex contact interactions and demanding environmental conditions.

• Experience with vision-based perception for robotics control, such as depth estimation, visual odometry, or visuomotor policy learning.

• Familiarity with low-level motor control interfaces and real-time embedded systems constraints.

• Experience with online adaptation and meta-learning techniques to enable robots to adapt to changing environmental conditions

• Experience with sensor fusion (IMU, proprioception, exteroception, vision) to inform and enhance learned control policies.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant - AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be building Celonis solutions using the world’s leading Process Intelligence (PI) platform - in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers.

This customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Build the Core Platforms That serves hundreds Engineers

Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.

We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.

We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.

What will you do?

What will you bring to the team?

We care about you

• Hybrid working model (3 days per week in the office)
• Nearby parking available
• Expand your toolbox with our mentorship program and internal learning tools
• Pet friendly office
• Happy hours
• …and of course a fully stocked kitchen!

Please submit your CV in English.

#LI-Hybrid

About the opportunity 

We are looking for a Cloud Engineer to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. 

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering challenges at Teads

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others.
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge.

Our Infrastructure Team

Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.

What will you do?

As part of the Runtime Platform team, you’ll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. You’ll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless “paved road” for developers to deploy and scale their applications with confidence. You’ll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, you’ll fit right in.

What will you bring to the team?

Your skills and experience:

• BS in Software Engineering (or extensive experience equivalent to).
• Good programming abilities.
• Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
• Strong working knowledge of and experience in IaC technologies, like Terraform.
• Strong commitment to quality designs, automation, and documentation.
• Pride in ownership, initiative and collaboration.
• Eager to learn, discover and become proficient in new tools and languages.
• Effective communicator; you love to solve problems and are creative in your work.
• You embrace change and are enthusiastic to learn in order to bring projects to proper completion.

Bonus points:

• Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
• Past experience in advertising technology or e-commerce.

We care about you:

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

About the opportunity 

We are looking for a Cloud Engineer to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. 

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering challenges at Teads

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others.
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge.

Our Infrastructure Team

Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.

What will you do?

As part of the Runtime Platform team, you’ll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. You’ll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless “paved road” for developers to deploy and scale their applications with confidence. You’ll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, you’ll fit right in.

What will you bring to the team?

Your skills and experience:

• BS in Software Engineering (or extensive experience equivalent to).
• Good programming abilities.
• Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
• Strong working knowledge of and experience in IaC technologies, like Terraform.
• Strong commitment to quality designs, automation, and documentation.
• Pride in ownership, initiative and collaboration.
• Eager to learn, discover and become proficient in new tools and languages.
• Effective communicator; you love to solve problems and are creative in your work.
• You embrace change and are enthusiastic to learn in order to bring projects to proper completion.

Bonus points:

• Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
• Past experience in advertising technology or e-commerce.

We care about you:

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

About the opportunity 

We are looking for a Cloud Engineer to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. 

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering challenges at Teads

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others.
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge.

Our Infrastructure Team

Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.

What will you do?

As part of the Cloud Foundation team, you’ll be the master architect of our core infrastructure, with a primary focus on global networking and automated provisioning. You’ll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and “Infrastructure as Code” pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. You’ll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, you’ll help us evolve a rock-solid foundation that scales as fast as our ambitions.

What will you bring to the team?

Your skills and experience:

• BS in Software Engineering (or extensive experience equivalent to).
• Good programming abilities.
• Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
• Strong working knowledge of and experience in IaC technologies, like Terraform.
• Strong commitment to quality designs, automation, and documentation.
• Pride in ownership, initiative and collaboration.
• Eager to learn, discover and become proficient in new tools and languages.
• Effective communicator; you love to solve problems and are creative in your work.
• You embrace change and are enthusiastic to learn in order to bring projects to proper completion.

Bonus points:

• Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
• Past experience in advertising technology or e-commerce.

We care about you:

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

About the opportunity 

We are looking for a Cloud Engineer to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. 

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering challenges at Teads

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others.
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge.

Our Infrastructure Team

Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.

What will you do?

As part of the Cloud Foundation team, you’ll be the master architect of our core infrastructure, with a primary focus on global networking and automated provisioning. You’ll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and “Infrastructure as Code” pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. You’ll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, you’ll help us evolve a rock-solid foundation that scales as fast as our ambitions.

What will you bring to the team?

Your skills and experience:

• BS in Software Engineering (or extensive experience equivalent to).
• Good programming abilities.
• Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
• Strong working knowledge of and experience in IaC technologies, like Terraform.
• Strong commitment to quality designs, automation, and documentation.
• Pride in ownership, initiative and collaboration.
• Eager to learn, discover and become proficient in new tools and languages.
• Effective communicator; you love to solve problems and are creative in your work.
• You embrace change and are enthusiastic to learn in order to bring projects to proper completion.

Bonus points:

• Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
• Past experience in advertising technology or e-commerce.

We care about you:

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

L'équipe Data Platform de DECATHLON recherche un·e Senior MLOPS basé·e·s à Lille/Paris. 

Au cœur de l’entité Decathlon Digital, nous recherchons un·e Senior MLOPS pour rejoindre les équipes Data Factory.

Cette plateforme technologique, globale à tout le groupe de manière internationale, soutient le développement de l’usage de la Data chez Decathlon, du calcul du chiffre d’affaires à l’aide de conception de produits innovants.

Nous opérons une Modern Data Stack de pointe, avec un Lakehouse comme centre de gravité. Notre mission ? Garantir la scalabilité, l'automatisation et l'excellence des pratiques de développement pour l'ensemble de nos communautés (Data Engineers, Analysts, Scientists).

Notre équipe IA / MLOPS au cœur de la Data Factory est une brique essentielle de cette mission. Elle est chargée d’outiller les data scientists, ML engineers pour mener à bien leur mission. De plus elle joue un rôle centrale dans la mise à disposition de LLM et d’agents à nos utilisateurs techniques

TA FUTURE CONTRIBUTION 

En tant que Senior MLOps, au sein de la squad IA / ML tu joueras un rôle clé pour outiller les data scientists et ML engineers afin de les aider à mener à bien leur mission. De plus, tu auras un rôle central dans la mise à disposition des technologies d'IA générative pour nos développeurs. L’équipe est composée de 4 MLOPS et de 2 Product Managers.

Tu seras en charge de:

• Design & Architecture Multi-Cloud : Concevoir des architectures IA robustes et sur-mesure sur AWS et GCP, en étant force de proposition pour répondre aux besoins spécifiques de nos utilisateurs.
• Industrialisation & IaC : Piloter le déploiement, le maintien et l'évolution de nos infrastructures IA via Terraform, en garantissant une cohérence parfaite entre nos différents environnements Cloud.
• Automatisation & CI/CD : Optimiser nos cycles de mise en production en orchestrant des pipelines de déploiement continu (CI/CD) via Git, assurant ainsi rapidité et fiabilité.
• Gouvernance & Excellence : Définir les standards de demain en créant des guides, des templates et des bonnes pratiques, tout en assurant une veille stratégique (IA & GenAI) pour maintenir notre avantage technologique.
• Expertise & Rayonnement : Incarner nos solutions auprès des équipes techniques et métiers, notamment en animant des Office Hours et en vulgarisant les enjeux complexes de la plateforme

STACK TECHNIQUE

• Cloud AWS et GCP
• Databricks
• MLFlow
• Airflow
• Terraform
• Docker, Kubernetes

CE QUE TU APPORTES

• Pédagogie et Sens du service : Tu sais accompagner les utilisateurs avec clarté, traduire des concepts IA complexes en solutions techniques simples, et rédiger une documentation robuste.
• Curiosité : La veille technologique fait partie de ton ADN

• Esprit collaboratif : Tu t'épanouis dans un environnement agile où le partage est la règle 
• Communication : Un excellent relationnel pour fédérer autour de tes solutions. Ton anglais est fluide pour évoluer dans notre contexte international.
• Expérience : Tu justifies de 3 ans minimum d’expérience sur un rôle similaire (MLOps, ML engineer)

About the opportunity 

We are looking for a Cloud Engineer to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. 

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering challenges at Teads

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others.
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge.

Our Infrastructure Team

Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.

What will you do?

As part of the Cloud Foundation team, you’ll be the master architect of our core infrastructure, with a primary focus on global networking and automated provisioning. You’ll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and “Infrastructure as Code” pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. You’ll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, you’ll help us evolve a rock-solid foundation that scales as fast as our ambitions.

What will you bring to the team?

Your skills and experience:

• BS in Software Engineering (or extensive experience equivalent to).
• Good programming abilities.
• Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
• Strong working knowledge of and experience in IaC technologies, like Terraform.
• Strong commitment to quality designs, automation, and documentation.
• Pride in ownership, initiative and collaboration.
• Eager to learn, discover and become proficient in new tools and languages.
• Effective communicator; you love to solve problems and are creative in your work.
• You embrace change and are enthusiastic to learn in order to bring projects to proper completion.

Bonus points:

• Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
• Past experience in advertising technology or e-commerce.

We care about you:

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

About the opportunity 

We are looking for a Cloud Engineer to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. 

Join a team of passionate people who build quality and responsible advertising, at scale!

Our main Engineering challenges at Teads

• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others.
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies.
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge.

Our Infrastructure Team

Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.

What will you do?

As part of the Runtime Platform team, you’ll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. You’ll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless “paved road” for developers to deploy and scale their applications with confidence. You’ll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, you’ll fit right in.

What will you bring to the team?

Your skills and experience:

• BS in Software Engineering (or extensive experience equivalent to).
• Good programming abilities.
• Extensive experience building and running workloads in public clouds (AWS, Azure, or both)
• Strong working knowledge of and experience in IaC technologies, like Terraform.
• Strong commitment to quality designs, automation, and documentation.
• Pride in ownership, initiative and collaboration.
• Eager to learn, discover and become proficient in new tools and languages.
• Effective communicator; you love to solve problems and are creative in your work.
• You embrace change and are enthusiastic to learn in order to bring projects to proper completion.

Bonus points:

• Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions.
• Past experience in advertising technology or e-commerce.

We care about you:

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

#LI-Hybrid

Build the Core Platforms That serves hundreds Engineers

Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.

We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.

We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.

What will you do?

What will you bring to the team?

We care about you

• Hybrid working model (3 days per week in the office)
• Nearby parking available
• Expand your toolbox with our mentorship program and internal learning tools
• Pet friendly office
• Happy hours
• …and of course a fully stocked kitchen!

Please submit your CV in English.

#LI-Hybrid

We’re hiring a Senior Security Engineer to help shift security left across product and platform teams, while also supporting internal corporate security needs. You’ll drive impact through enablement, automation, and practical risk reduction.

Why this role matters

You’ll secure both what we build and how we work. That means embedding security into our products and CI/CD, and also supporting internal teams.

Security here is not a gate; it’s a force multiplier. You’ll help engineering teams move faster safely, and ensure our colleagues have a secure foundation to do their best work.

Success means faster, safer releases and fewer reactive security escalations.

What will you do?

As a Senior Security Engineer, your mission will be to:

• Partner with developers to embed security into design, build, and deploy stages
• Automate vulnerability triage and mitigation flows
• Secure CI/CD pipelines (GitHub, Jenkins) and execution environments (Kubernetes, Docker)
• Tune WAFs, manage cloud security (AWS, GCP, Azure), and evolve Terraform practices
• Support internal teams with secure production accesses, endpoint hardening, and access policies
• Lead security reviews across app, infra, and corporate environments
• Advocate for security standards with clarity and empathy

You might be a fit if you:

• See security as an enabler of speed, not an obstacle
• Are comfortable in cloud and on-prem worlds
• Value autonomy, and naturally take ownership from idea to execution
• Can zoom out to prioritize risks and zoom in to fix root causes
• Communicate clearly with devs, ops, and business teams alike
• Eager to work in a technically challenging environment

You’ll grow by working with:

• Terraform, Docker, Kubernetes
• Modern security tools
• GitHub Actions, Jenkins
• AWS, Azure, GCP
• Teams building external-facing services (web apps, APIs) and internal platforms (CI/CD, admin tooling) to embed security by design.
• Supporting a public company environment with compliance requirements across multiple standards, including SOC 2 and ISO 27001

Skills that help (we’ll support your growth):

• Application Security: code review, threat modeling, WAF
• CloudSec: IAM, policy-as-code, workload hardening
• On-Prem/Corporate: endpoint protection, monitoring and production access control
• Communication: making risk visible and actionable

The Team Environment

You’ll join a cross-cultural, globally distributed security team that thrives on collaboration, curiosity, and continuous learning. We bring together a wide range of experiences and backgrounds to solve meaningful problems.

We support each other through knowledge sharing sessions, workshops, and async collaboration. You’ll have the chance to attend industry conferences, participate in internal guilds, and continuously sharpen your skills using our dedicated security training platform.

How we work:

• Autonomy with alignment: own your work, stay connected to purpose
• Bias for action: ship, learn, improve
• Enablement mindset: security exists to empower teams, not slow them down
• Simple and pragmatic: perfect is the enemy of shipped

Notre équipe SAP delivery recherche un·e Senior software engineer basé·e à Lille ou Paris. 

Chez Decathlon, nous sommes guidés par notre sens qui est "Move People through the wonders of sports". Notre mission est d'inspirer et de permettre aux gens d'entreprendre et d'enrichir leur parcours sportif, qu'ils soient curieux ou exigeants, débutants ou professionnels. Grâce à une conception innovante des produits, à des initiatives de développement durable et à un engagement en faveur de la satisfaction des clients sur tous les canaux, nous visons à révolutionner la façon dont les gens vivent le sport.

Au sein du domaine Value Chain Engineering Cross, l'équipe SAP DELIVERY agit comme un centre d’expertise en intégrant les best practices et en mobilisant son expertise pour structurer et améliorer continuellement les processus de delivery, notamment lors du développement, du test et du déploiement des solutions SAP. Elle travaille en collaboration étroite avec tous les domaines de la Value Chain de Decathlon afin de garantir une intégration fluide et une optimisation globale des solutions mises en œuvre.

TA FUTURE CONTRIBUTION 

• Analyser les besoins fonctionnels et techniques pour concevoir des solutions SAP adaptées.
• Développer, tester et déployer des applications et extensions SAP (ABAP, ABAP Cloud, RAP, Fiori/UI5, CDS Views, OData, etc.).
• Contribuer à la mise en place de projets sur SAP Business Technology Platform (SAP BTP).
• Participer à la migration et à l’optimisation de systèmes SAP S/4HANA.
• Collaborer avec les équipes fonctionnelles et les architectes pour assurer la qualité et la pérennité des développements.
• Encadrer et accompagner la montée en compétence technique des développeurs juniors.

CE QUE TU APPORTES

Compétences techniques :

• Maîtrise de l’ABAP et ABAP OO.
• Maîtrise des technologies Fiori/UI5, CDS Views, OData Services.
• Bonne expérience avec ABAP Cloud et RAP (RESTful ABAP Programming Model).
• Connaissance de SAP BTP (Business Technology Platform), notamment les services d’intégration et d’extension.
• Expérience avec SAP S/4HANA, modules FI/CO, MM, SD ou autres.
• Bonne compréhension des processus métiers SAP.

Soft skills :

• Esprit d’analyse et de synthèse.
• Capacité à travailler en équipe et à communiquer avec des interlocuteurs variés.
• Leadership technique et sens du partage des connaissances.
• Autonomie et force de proposition.

 Langues : Maîtrise de l’anglais technique, à l’oral comme à l’écrit

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille ou Paris ;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac ou Windows) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).

Senior Thermal and Fluidics Systems Engineer (CEA)
Full-time
In-person

At Interstellar Lab, our mission is to build a future full of life, on Earth and beyond.
We believe in a world where technology enables humans to live in harmony with nature, where biodiversity thrives and expands, and where terrestrial life becomes multi-planetary.

To build this future, we design autonomous biospheric systems to grow plants with precision, on Earth and in Space. Our AI-powered BioPods and BioCapsules leverage biosciences to reproduce and optimize growth conditions for a wide variety of high-value plants.

On Earth, we pioneer molecular and biofarming, boosting the production of metabolites and bioactive compounds while offering sustainable, traceable, and high-quality natural ingredients to the beauty, fragrance, pharmaceutical, and nutraceutical industries.

In space, we collaborate with agencies and private companies to develop biofarming units that advance life science research in microgravity and lay the foundation for future biofactories in space, enabling innovative terrestrial applications and long-duration space missions.

About the Role
As Senior Thermal and Fluidics Systems Engineer, you will be responsible for the design and engineering of Interstellar Lab’s controlled environment systems for plant growth. Your role focuses on air, water, nutrient, gas, and thermal regulation, translating biological requirements into robust, efficient, and scalable engineered systems. You will work closely with mechanical, electrical, and software teams to deliver integrated environmental control architectures, from early design through commissioning and operational optimization.

Responsibilities

• Design and engineer controlled environment systems for plant growth, covering air, water, nutrients, and thermal regulation
• Engineer irrigation and fertigation systems including dosing, recirculation, filtration, and water treatment
• Design air handling and gas management systems for temperature, relative humidity, CO2, O2, and airflow control
• Engineer thermal management for enclosures, canopy, and root zones
• Perform mass and energy balances for air, water, and nutrients at system level
• Define sensors, actuators, and control strategies for environmental regulation
• Produce P&IDs, sizing calculations, and technical specifications
• Support system integration, commissioning, testing, and performance optimization

Profile / Qualifications

• Degree in mechanical, chemical, process, or environmental engineering
• 6+ years of experience in controlled environment systems, CEA, HVAC, or industrial fluid processes
• Strong expertise in thermal engineering, fluid dynamics, and process control
• Hands-on experience with irrigation, fertigation, hydroponic or aeroponic systems
• Experience with air treatment, humidity control, and gas handling systems
• Ability to carry systems from design to commissioning and operational tuning
• Comfortable working close to hardware and multidisciplinary teams
• Fluent in English, French is a plus

Equal Opportunity
Interstellar Lab is proud to be an equal opportunity employer. Interstellar Lab does not discriminate on the basis of race, regional color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.