Engineering Manager (Data Platform)

Join Babbel as an Engineering Manager for the Data Platform team. In this hands-on role, you will lead the team responsible for data infrastructure, pipelines, and platform capabilities that support analytics, data science, product teams, and engineering across the company. You will work closely with various leaders to turn strategy into sustainable execution, drive architecture that supports governed AI and agent workloads at scale, and establish clear ownership and strong engineering practices. The position offers a range of benefits, including 30 vacation days, flexible working hours, and a modern office in Berlin.

- Leiten Sie das Data Platform-Team von Babbel, das für die Dateninfrastruktur, Pipelines und Plattformfähigkeiten verantwortlich ist. - Verantwortung für die Teamgesundheit und die Ergebnisse der Lieferung, Schaffung eines Umfelds, in dem Ingenieure ihre beste Arbeit leisten können. - Arbeiten Sie eng mit den Führungskräften in den Bereichen Daten, Analytik, Produkt und Engineering zusammen, um die Strategie in eine nachhaltige Ausführung umzusetzen.

- Experience working with Product, Analytics, Data Science and Engineering stakeholders in cross-functional teams, balancing delivery, quality, cost and sustainability - Experience managing and developing data engineers, ideally in a data platform, infrastructure or internal-product context - A strong track record of delivering and operating reliable production systems, including data pipelines, modelling, schema evolution, testing, CI/CD, monitoring and incident management - People leadership and team development: Creates a healthy, collaborative and accountable team culture through clear expectations, constructive feedback, coaching and career development - The role requires both technical depth and strong people leadership, together with the ability to create clarity, resolve ownership gaps and help teams deliver sustainably - Technical leadership: Strong understanding of modern data platform architecture, including cloud infrastructure, data processing, streaming, orchestration and analytics tools. Experience with technologies such as AWS, Terraform, Databricks, Kinesis or similar, dbt and Airflow is relevant - Product and delivery leadership: Treats the data platform as a product for internal customers, communicates clearly, manages trade-offs and makes sound build-versus-buy, vendor, cost and reliability decisions - Data governance and responsible AI use: Practical understanding of access controls, IAM, least-privilege patterns, encryption, lineage, audit logging and governance for AI or agent workloads - This role requires strong proficiency in English. Please note that our company’s operating language is English, so you will need to be able to work in English - We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs