5 дней назад
Engineering Manager - Data Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager - Data Platform (AI): Leading the data platform team that builds and operates infrastructure, pipelines, and platform capabilities for analytics, data science, product, and engineering with an accent on reliability, governance, and scalable architecture. Focus on developing engineers, delivering production data systems, and building governed AI and agent workloads with access controls, lineage, auditability, and cost guardrails.
Location: Berlin, Germany, with remote-friendly options including working from another location for up to 3 months inside the EU and UK.
Company
develops digital language learning products for consumers and businesses, combining language-learning expertise with technology and behavioral analysis.
What you will do
- Lead, coach, and grow the data engineering team responsible for the data platform and infrastructure.
- Own reliable delivery and operational excellence, including quality, observability, SLAs/SLOs, on-call, and incident management.
- Partner with Analytics, Product, Data Science, and Engineering to prioritize and deliver platform capabilities.
- Drive scalable data platform architecture for governed AI and agent workloads.
- Establish ownership, engineering practices, and predictable delivery while improving performance, cost, and sustainability.
Requirements
- Experience managing and developing data engineers in a data platform, infrastructure, or internal-product environment.
- Experience delivering and operating production systems involving data pipelines, modeling, schema evolution, testing, CI/CD, monitoring, and incident management.
- Experience collaborating with Product, Analytics, Data Science, and Engineering stakeholders.
- Strong understanding of data platform architecture, cloud infrastructure, data processing, streaming, orchestration, and analytics tools.
- Practical knowledge of access controls, IAM, least-privilege patterns, encryption, lineage, audit logging, and governance for AI or agent workloads.
- Strong English proficiency is required; English is the company’s operating language.
Nice to have
- Experience with AWS, Terraform, Databricks, Kinesis, dbt, Airflow, or similar technologies.
Culture & Benefits
- Flexible working hours and remote-friendly options, including Jobbatical arrangements inside the EU and UK.
- 30 vacation days and the option to take a 3-month sabbatical.
- Annual learning and development budget, internal learning opportunities, and free access to and Live classes.
- Mobility benefits, discounted Urban Sports Club membership, and family and life situation counseling.
- Employee communities, diversity and inclusion initiatives, and cultural and social events.
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