Solutions Engineer
Build Python pipelines that transform food supply chain data into climate impact insights. Help scale carbon footprint solutions through robust API integrations. We make science accessible!
We are looking for a passionate Solutions Engineer who will take ownership of building and maintaining the data pipeline infrastructure that powers our carbon footprint platform.
You will design, develop, and optimize Python-based systems that transform customer data (CSV files, spreadsheets, and other formats) into our API, enabling seamless integration of complex carbon calculations into food producers' workflows.
Key Responsibilities
- Build, maintain, and optimize Python data pipelines that convert customer data formats (CSV, Excel, JSON) into our carbon footprint API.
- Design robust data transformation workflows that handle various supply chain data structures and ensure data quality and validation.
- Develop automated systems for data ingestion, processing, and API integration that scale with customer needs.
- Provide technical problem-solving support for customers implementing data integrations and troubleshoot pipeline issues.
- Build proof-of-concepts and technical demos showcasing seamless data transformation capabilities to prospective clients.
- Create and maintain comprehensive documentation for data pipeline architecture, API endpoints, and integration processes.
- Respond to customer support questions about system functionality, data processing, and troubleshoot technical issues with integrations.
- Collaborate with engineering teams to relay customer feedback and drive product improvements based on real-world usage patterns.
Qualifications
- Strong Python programming skills with extensive experience in data pipeline development and data processing systems.
- Proven experience working with various data formats (CSV, Excel, JSON, XML) and data transformation libraries (pandas, numpy, etc.).
- Experience building and maintaining production data pipelines, preferably with cloud platforms and containerization.
- Solid understanding of RESTful APIs, data validation, and error handling in data processing systems.
- Experience with database systems and data warehousing concepts.
- Knowledge of additional programming languages is a plus.
- Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
- Ability to communicate effectively in English (Swedish language skills are a plus).
- Familiarity with agile workflows and working in cross-functional teams.
- A passion for sustainability and desire to make a meaningful impact in climate technology.
- Strong Python programming skills with extensive experience in data pipeline development and data processing systems.

Göteborg
Perks & Benefits
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Work on the biggest issue of our generation
Your time is precious. Spend it where it matters. -
Lots of room to shape your work
We expect You to know You best. In general, you get to pick your tools and decide how to make the most of them. -
Get better together
You'll be working closely with motivated people that joined the company since they want to change the world. But we are doing something very new, and we are figuring it out together as we go. Sharing mistakes and learnings makes us better at this.
Workplace & Culture
Working here is a great way to try out new things and push your comfort zone, if you want to. We don't have a specialist in every area yet, counting on the team being flexible and stepping in wherever needed. Some of us stick to our ordinary job descriptions, but we also have developers trying out sales, and designers doing marketing.
We are flexible with hours and remote work where needed, trusting everyone to do their best to work in a way that's effective. We're currently doing a mixed setup with some people working remotely full time. We are looking forward to working together at the office after the pandemic!
About CarbonCloud
We do climate footprint calculations for food producers, insights on where to improve, and transparency to consumers through packaging labels. The science is hard, the product is simple. We are building a global network of climate calculations - improve one calculation, and the others react.