Senior Software Engineer - GTM (m/f/d)

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

• Take ownership of designing, building, and maintaining backend services in Kotlin and Python to support user data flows.

• Design and optimize scalable event-driven architectures and pipelines connecting internal systems with Customer Data Platforms (CDPs) and downstream marketing channels.

• Build reliable, high-performance processes for collecting, transforming, and activating user data, ensuring accuracy and timeliness for campaigns and analytics.

• Drive technical design decisions, mentor engineers, and promote engineering best practices across the team.

• Collaborate closely with marketing, data, product, and platform teams to align technical solutions with business goals.

• Ensure scalability, reliability, security, and observability through monitoring, logging, testing, and proactive improvements.

• Champion engineering excellence across the software development lifecycle, including architecture, testing, CI/CD, deployment, and maintenance.

• Open-minded about working across different technologies, including frontend development and monolithic applications, based on business needs.

• Comfortable using AI tools in day-to-day software development to improve productivity and code quality.

• 5+ years of professional experience as a Software Engineer.

• Strong programming skills in Java/Kotlin, and Python.

• Strong understanding of relational and non-relational databases.

• Experience designing scalable backend systems and event-driven architectures.

• Experience with cloud platforms, preferably AWS.

• Experience working with messaging and streaming platforms such as Kafka

• Strong communication skills and ability to collaborate effectively across engineering and business teams.

• Experience with Customer Data Platforms (CDPs) and the MarTech ecosystem (e.g. Braze, Salesforce, Segment, Hightouch, etc.).

• Experience working with cloud data platforms such as Snowflake, BigQuery, or Amazon Redshift.

• (Big plus) Experience designing and building AI-powered workflows, including AI agents, LLM integrations, or developer productivity tools.