Senior Data Engineer - F/M/X

🌎 Our Mission:

To place the best of human and technology at the heart of building maintenance. By combining the expertise of engineers in the field with the agility of technology, we aspire to be a major player in facilitating economic, digital, environmental, and social transitions for the better, particularly with the advent of smart buildings.

We are convinced that combining technology and innovation to enhance technical professions will be successful by granting autonomy, time, and recognition to engineers—the true experts in the field—and is essential for successful performance. This is why we develop hardware and software solutions to provide real-time, reliable, and comprehensive data to optimize building management.

Everything in the company is built around its values: Care, Grit, and Uniqueness. We apply them daily within our teams and with our clients and partners.

WeMaintain's mission is to drive the transformation of building operations with our unique end-to-end platform. Join our dynamic and energetic team as we shape the future of maintenance.

🚀 Why Join Us?

At WeMaintain, we are committed to embodying each of our values in our daily work:

• Care, in every interaction with our clients and colleagues.
• Grit, in our determination to always go above and beyond and deliver superior quality products.
• Uniqueness, in our goal to always enable everyone to feel comfortable expressing their opinions and testing their ideas to transform our industry.
  
  

Join our team and help shape the future of maintenance while working in a supportive and collaborative environment.

If you are ready to make an impact and drive change in a growing company, we would love to get to know you. Join us at WeMaintain and be part of our journey to revolutionize the industry!

🙌🏼 Who Are We Looking For?

We are seeking a Data Engineer to join our team and play a crucial role in the development and maintenance of our data infrastructure. This position requires a blend of skills in cloud services, data processing and data modeling. The ideal candidate will have a solid understanding of data architecture principles and be proficient in programming.

As the first Data Engineer, you will have the responsibility of shaping and overseeing our entire data stack, positioning you as a pivotal stakeholder in our overall data strategy. This role offers the rare opportunity to architect the foundation of our new data infrastructure from the ground up, ensuring scalability, efficiency, and innovation.

You will collaborate closely with our data science teams to bring their visionary models to life, translating them into scalable and production-ready solutions. In addition, your partnership with product teams will be crucial to aligning technical capabilities with our strategic objectives, ensuring that our data infrastructure not only supports but also enhances our product offerings. This role is tailor-made for a visionary engineer eager to set the course for our data-driven future, making tangible impacts across the company.

As an IoT company, we design and manufacture our own devices, generating vast amounts of data that offer complex challenges for any data engineer. This role provides the unique opportunity to delve into large-scale data environments and drive innovation by developing robust data infrastructures that turn raw data into actionable insights in real time. Your expertise will help us unlock new capabilities and enhance product offerings, making an impactful contribution to the IoT landscape.

📈 What Will Your Future Role Be?

• Design, implement, test, and maintain highly scalable/available data management systems.
• Implement data ingestion and transformation pipelines using DBT, ensuring data quality and efficiency.
• Manage and optimize data flows between IoT devices and our cloud platforms (AWS, GCP), then from our cloud platforms to end users.
• Configure and maintain ETL processes (Airbyte, Stitch) to support data integration and data quality initiatives.
• Collaborate with cross-functional teams to gather and analyze requirements to support data-driven decision-making and product development.
• Continuously evaluate new technologies and tools to enhance the capabilities of our data infrastructure.
• Ensure compliance with data governance and security policies
  
  

👑 You Are the Right Person for Us If:

• French & English spoken professionally
• Proven experience as a Data Engineer, with a strong track record in data infrastructure and cloud services (AWS, GCP).
• Knowledge and experience with BigQuery
• Know how to build and industrialize projects from start to finish
• Interest in the latest features and possibilities of BigQuery
• Knows how to manage, monitor and control costs
• Proficiency in SQL and experience with DBT.
• Familiarity with ETL tools such as Airbyte and Stitch.
• Excellent problem-solving abilities and strong communication skills.
• Programming skills in either Python/Java/Go
  
  

🌟 Bonus Points:

• Knowledge of Infrastructure-as-code (Terraform, CDKTF or other)
• Knowledge of MLOps
• Experience with Typescript
• Interest or experience in AI technologies
  
  

✏️ How to Apply?

At WeMaintain, we firmly believe that a cover letter is much more than a mere required document in an application. It is your chance to show us who you are beyond your CV. Your cover letter allows us to understand what motivates you, why you want to join our team, and how you can contribute to our success. You can include any relevant experiences or projects related to your application. It lets us discover your personality, your values, and explains why you want to pursue this profession.

Every application is read attentively, and your cover letter will make a difference by allowing us to get to know you better and understand what you can bring to our company. So take the time to write a letter that truly represents you and shows us why you are the ideal candidate for this position!

Our culture is based on trust, autonomy, and flexibility. We value diversity and inclusivity and believe that having a team where everyone can be authentic is essential. We encourage people from all backgrounds to apply and join our team.

🎯 Recruitment Process:

We've designed our hiring process to be transparent, engaging, and respectful of your time. Our aim is to not only assess your fit for the role but also to give you a thorough understanding of our team, culture, and the opportunities for growth within our company. Here’s what you can expect:

• Initial HR Chat (30 minutes): Your journey starts with a brief conversation with Katia, our Recruiter. This is an informal chat aimed at answering any questions you might have about the role or our company and to give us a chance to learn a bit about you and your professional aspirations.
• Discussion with our CTO and VP of Engineering (45 minutes): Following the HR chat, you'll have the opportunity to meet Tristan, our CTO, and Tim, our VP of Engineering. In this call, we'll dive deeper into your background, experiences, and technical skills. Tristan will also share insights into the day-to-day responsibilities of the role, our current projects, and how you might fit into the team.
• Case Study: After our discussion, we'll provide you with a short data engineering problem to solve. This isn't just about finding the right answer—it's an opportunity for you to showcase your analytical thinking, problem-solving skills, and creativity. You'll be asked to reflect on the problem and propose your solutions. This step is crucial for us to understand your approach to real-world challenges you might face in the role.
• Debrief Call (45 minutes): Once you've submitted your case study, we'll schedule a debrief call with Tristan (CTO) and David (Principal Engineer). This conversation is a chance for us to discuss your proposed solutions, offer feedback, and further explore how your skills and experiences align with our needs. It's also another opportunity for you to ask questions and gain insights into our team dynamics and future projects.
• Team Introduction (30 minutes): The final step in the process is a casual meet-and-greet with other members of our team. This isn't an interview but rather a chance for you to get to know the people you'll be working with.
• Welcome to WeMaintain! 🎉