Sparrow is transforming industrial spare parts management, aiming to cut the global $1 trillion stock by reducing overstock and waste, making our customers more economical and sustainable. Our SaaS platform, powered by big data and AI, enhances data quality and optimises maintenance logistics, ensuring timely and cost-effective parts availability. Serving leading companies, such as Bayer AG and Mahle GmbH, we are expanding our reach from our Berlin headquarters, both in Europe and worldwide.
Our values
Analytical and data driven – we believe in magic only if it fits in an Excel formula
Relentless – we stop dancing 2 hours after the party has ended
Brutally honest – we can’t help but say what we think
Long term thinker – we appreciate that great things take time to build
Entrepreneurial mindset – we find opportunities everywhere
As a Data Engineer at Sparrow, you will create and customise tools for automatically analyzing and improving customers’ (and Sparrow’s) data. Because data is our business, we are looking for a specific kind of data demon—someone who loves working with data, is super data curious, and enjoys making sense of it.
You’re data curious and get a real buzz out of solving problems with data - maybe you were that kid who scraped the Pokémon online encyclopedia to build your personal database, or maybe you scanned past school exams and ran analysis to predict the next-exam’s questions … in which case you’ll fit right in.
Deep diving into knotty data and figuring out how to simplify it, then systemise it
Hands-on troubleshooting data challenges
Customer and results focused - every step of the way
A database admin
A software engineering role
Training existing and creating new ML models for various data challenges
Creating tools and processes for data extraction and processing
Using the above tools (and others) to improve data quality
Managing and optimising the product data catalog pipelines
What’s in it for you?
Professional development through coaching and mentoring
Diverse tasks: from scripting through Excel wizardry and up to Machine Learning with new challenges around every corner
Career growth opportunities: when Sparrow grows, so do you
Remote work: we are extremely flexible and open to any working pattern that can adjust to Berlin timezone -/+ 1hrs
Your work directly impacts the company’s success
Working with a small and strong team where every voice counts
Virtual shares
Good knowledge of Python + SQL, including 3+ years of experience
Experience in automating data fetching from APIs and web resources
Working experience with using (in production) and training LLM models (Open source, GPT, Gemini)
Basic knowledge of VueJS and Flask framework is a plus
Good command of spreadsheet software (Excel, Google Sheets)
Ability to learn how to work with new tools quickly
Persistence and resilience: willing to try new things/different approaches to the same topic until the problem is solved
Good communication skills in English; German knowledge is a plus.
If you're passionate about data engineering in a real life context, we'd love to hear from you! Please submit your CV or LinkedIn profile, along with your responses to the following questions:
What are the top 3 data engineering topics you’re interested in? (up to 50 words)
Describe a recent project you worked on from start to finish and what it achieved for users. (up to 200 words)
At Sparrow, we value diversity and are committed to creating an inclusive environment where everyone feels empowered to contribute and succeed. Join us and see for yourself.