Sweep is hiring a Senior Data Engineer for our pioneering carbon management software.

Climate change is the defining challenge of our era, and technology is at the center of the fight. Sweep is arming companies with tools to manage their climate impact, thereby contributing to a better future for everyone.

Ok, sounds promising. What will I be doing?

As a key player in our data team, you'll be responsible for building and maintaining the infrastructure that allows for the collection, processing, and analysis of large datasets.

More specifically, your mission will involve:

• Design and build data pipelines: This includes developing and maintaining systems for extracting, transforming, and loading (ETL) data from various sources. This often involves working with large-scale data processing frameworks like Hadoop, Spark, or cloud-based solutions like AWS Glue or Google Cloud Dataflow.
• Develop and maintain data warehouses and lakes: They design and implement data storage solutions that are optimized for different types of analysis, including data warehousing for structured data and data lakes for raw, unstructured data.
• Ensure data quality: Implement processes and tools to monitor and improve data quality, accuracy, and consistency. This may involve data profiling, cleansing, and validation.
• Deploy and maintain data infrastructure: Work with DevOps teams to deploy and maintain data infrastructure in on-premises or cloud environments. This includes ensuring scalability, reliability, and security of the data platform.
• Collaborate with data scientists and analysts: Work closely with data scientists and analysts to understand their data needs and provide them with access to the data they need in a usable format.
• Performance optimization: Continuously optimize the performance of data pipelines and queries to ensure efficient data processing and analysis.
• Stay current with technology: Keep up-to-date with the latest technologies and trends in data engineering, including new tools, frameworks, and best practices.

That sounds just right for me. What do I need to bring?

Glad you asked. This is who we’re looking for:

Qualifications 🏆

• Master's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in data engineering or a related role.
• Strong programming skills in languages like Python, Java, or Scala.
• Experience with cloud platforms like AWS or Azure.
• Knowledge of data warehousing concepts and techniques.
• Understanding of data modeling and data architecture principles.
• Experience with SQL and NoSQL databases.

Qualities 🧠

• Enthusiastic, self-motivated, and autonomous
• Strong problem-solving and analytical skills.
• Excellent communication skills and a collaborator at heart
• Committed to our mission of creating a better future for all of us

Copy that. And what’s in it for me?

You will be joining an exciting young business that has the humble ambition to change the world. With a proven track record in starting companies, we’re planning to hit the ground running and have an impact fast. Joining this journey right at the beginning allows you to really help shape our path.

Our hybrid work model, with hiring focussed around our head offices in Paris, London and Montpellier, allows us to balance our personal and professional lives while staying connected and engaged with colleagues and clients.

We’re big believers in creating successful businesses that are good for everyone, including society and the planet. That’s why we have a B Corporation status.

We think this will be the ride of our lives. And maybe yours, too.

At Sweep, we are dedicated to promoting diversity, inclusion, and equality. We believe that a diverse talent pool drives performance and sparks innovative ideas. We ensure equal opportunities for everyone, free from discrimination. Join our team and help build a sustainable future where everyone can thrive!

Department

Engineering

Role

Data Engineer

Locations

Paris

Daily salary

€600

Employment type

Contract

Already working at SWEEP?

Let’s recruit together and find your next colleague.