Data Engineer

Permanent employee, Full-time · Lund, SWE, Stuttgart, GER

Purchasing 4.0: Fully Digitized & Networked?
How often do you get the chance to start a new Data engineering platform from scratch? Are you passionate about using a modern data stack and enabling data-driven decisions? We are starting a green-field data platform project in the cloud. Join our growing team and help us build new data and AI products in out leading SaaS solution for procurement.

Who We Are

We are Onventis Analytics, part of Onventis - Germany’s leading SaaS for procurement. We empower our customers with cutting-edge technology to gain control over their spending, reduce costs, and improve the sustainability of their purchases. With over 400 customers, including major organizations in Sweden and Germany, we're in an exciting phase of expansion. We're looking for driven individuals to grow with us.   

Our Culture

Despite delivering a high-tech solution, our culture prioritizes people. We actively foster an organization built on trust, commitment, and helpfulness, ensuring everyone has the best opportunity to be challenged and grow. We're excited about our work, the customers we support, and the future ahead.   

The Team

You'll join a team with a strong history of agile practices. We're a well-oiled machine with effective processes and tools, allowing you to focus on building great solutions. We embrace new technology, value learning from each other. We work in short sprints, getting your work into the hands of appreciative users quickly. We utilize CI/CD and DevOps for efficient deployment. 
We believe work should be fun, and we think you'll agree!  
 
Your job
As a Data Engineer, you will be instrumental in designing, building, and maintaining our data infrastructure. You will:
  • Develop and build up our data lake and data pipelines 
  • Model and unify data from our microservices platform
  • Collaborate with developers and product owners to leverage data for our users
Your work will be:
  • Implement solutions using Python and modern data tools within AWS and Azure cloud environments.
  • Optimize data storage and processing for performance and cost-effectiveness.
Your Profile
  • Strong Python programming.
  • Hands-on experience with data orchestration tools like Prefect.
  • Experience with data manipulation libraries like Pandas.
  • Solid understanding and practical experience with database tools like dbt and duckdb.
  • Experience working with cloud platforms, specifically AWS and Azure.
  • Understanding of data lake concepts and ELT/ETL processes.
  • Problem-solving skills and ability to work independently and collaboratively.
Bonus Skills
Experience with SQL Server and MongoDB.
Join Us!
If you're ready to take on exciting challenges and grow within a supportive and dynamic team, we'd love to hear from you! 
About us
"We work every day to make global procurement simple, secure and connected with cloud services". At Onventis, we are driven by a common goal: to provide the best digital network for buyers and suppliers. We are a software pioneer that makes online procurement possible for companies. In addition to digital technology, this requires great ideas for the procurement management of tomorrow. Who makes them a reality? The Onventis team from Research & Development, IT, Product Management, Consulting & Services, Support, Sales, Marketing and Finance & Administration makes purchasing fit for the future for our internationally active customers, such as Conrad, Federal Mogule, Kühne & Nagel, Schott and Steigenberger - every day. Expressed in figures: From 6 locations - Stuttgart, Düsseldorf, The Hague, Stockholm, Paris and Vienna - around 190 colleagues ensure every day that around 1,2 million users process an annual business volume of 20 billion euros and more via the Onventis platform. The flat hierarchies, the broad scope for creativity and our interlinked teams create the space for innovation and personal development. Show us that you are a digital talent and make the Onventis success story yours.
Your application
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