Helping our customers to sell more parts & make things easier with our data and solutions based on our globally leading data standards.
TecAlliance interconnects entirely global automotive aftermarket data and knowledge from order to invoice.
Over 900+ colleagues work relentlessly globally together in 140 countries and counting.
We are owned by 34 automotive companies like Bosch, Continental, Rheinmetall, or ZF and proudly connect all data for them.
Become a colleague (m/w/d) today and continue our history of being a single source of truth data provider for the automotive aftermarket for the past 25 years.
In your role, you will develop and design a cutting-edge self-service analytics portal for the automotive market from scratch, using advanced cloud and web technologies within an international agile team of experts.
This tool enhances your clients' decision-making process by providing real-time benchmark data on spare parts sales and other relevant metrics.
By leveraging the data from all users, your clients can quickly adapt to market conditions.
Your tasks will be: Develop and design a new self-service analytics portal for the automotive market Create, analyze, maintain, and troubleshoot data pipelines Collect and store data from various sources, ensuring accuracy and integrity Improve data quality, efficiency, and reliability through new methods and tools Implement projects with end-to-end responsibility Communicate with customers and internal/external stakeholders Your profile: Profund experience in a Data Engineer role Strong experience with Python (e.g., Pandas) In-depth knowledge of AWS infrastructure and serverless data pipelines Experience with IaaS tools (preferably AWS CDK or Serverless Framework) Business fluent in English (German is a bonus) Ideal to have: AWS certification (Solutions Architect/Data Analytics) preferred Experience in the independent automotive aftermarket preferred #J-18808-Ljbffr