Data Engineer/Data Scientist
Role details
Job location
Tech stack
Job description
team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe. team.blue hub team.blue hub is a new internal startup within the team.blue group, created to deliver a unified, intelligent experience across all team.blue brands. We're building a small, top-tier team with complete autonomy, using AI as leverage across every workflow to ship fast, think clearly, and achieve measurable results. Role Build and maintain the data infrastructure and signal systems that make the hub smart and responsive. Ensure data flows efficiently, securely, and supports timely, relevant user experiences., Design and maintain data pipelines and integrations across systems. Process and enrich signals for recommendations and triggers. Implement data quality and monitoring tools. Collaborate with developers and marketing on analytics and insights. Use AI tools for data exploration and reporting.
Requirements
Do you have experience in SaaS?, At least 5 years in data engineering, analytics, or data science. Solid knowledge of SQL, Python, and data modeling. Experience with modern data stacks and AWS. Understanding of privacy and data governance principles. Reliable, autonomous, and detail-oriented. Excellent communication and collaboration skills. Fluent in English, both written and spoken.