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Babbel

Online language learning platform with subscriptions

Engineering Manager - Data Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listed

About the Job

Requirements

  • 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, continuous integration and continuous delivery, monitoring and incident management.
  • Experience working with Product, Analytics, Data Science and Engineering stakeholders in cross-functional teams, balancing delivery, quality, cost and sustainability.
  • Strong understanding of modern data platform architecture, including cloud infrastructure, data processing, streaming, orchestration and analytics tools.
  • Practical understanding of access controls, identity and access management, least-privilege patterns, encryption, lineage, audit logging and governance for artificial intelligence or agent workloads.
  • Ability to create a healthy, collaborative and accountable team culture through clear expectations, constructive feedback, coaching and career development.
  • Ability to treat the data platform as a product for internal customers, communicate clearly, manage trade-offs and make sound build-versus-buy, vendor, cost and reliability decisions.
  • Strong proficiency in English; the company’s operating language is English.

Responsibilities

  • Lead, coach and grow a data engineering team responsible for the data platform and infrastructure.
  • Own reliable delivery and operational excellence across the platform, including quality, observability, service-level agreements and objectives, on-call and incident management.
  • Partner with Analytics, Product, Data Science and Engineering teams to prioritise and deliver platform capabilities that make trustworthy data easy to discover, access and use.
  • Drive an architecture that supports governed artificial intelligence and agent workloads at scale, with appropriate access controls, lineage, auditability and cost guardrails built in.
  • Establish clear ownership, strong engineering practices and a predictable delivery cadence while continuously improving platform performance, cost and sustainability.
  • Work across Data, Analytics, Product and Engineering, building trusted relationships with internal customers and technical stakeholders.
  • Create clarity, resolve ownership gaps and help teams deliver sustainably.

Desired Qualifications

  • Experience with technologies such as AWS, Terraform, Databricks, Kinesis or similar, dbt and Airflow.

About the Company

Babbel

Online language learning platform with subscriptions

Babbel is an online language learning platform offering interactive courses in 14 languages. It uses lessons designed by language experts with real-life dialogues and speech recognition to build speaking, listening, reading, and writing skills. Access is subscription-based, with options for monthly, quarterly, or annual plans, and a free tier with limited content. Babbel also provides corporate language training for businesses. What sets Babbel apart is its combination of tailored, goal-oriented content based on a user’s native language, emphasis on practical speaking through speech recognition, and a global, award-winning reputation. The company aims to make language learning accessible and enjoyable for everyone, reduce language barriers, and support international communication across individuals and organizations.

Company size
1,001-5,000
Company stage
Series C
Total funding
$33.3M
Headquarters
Berlin, Germany
Founded
2007

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