03 nov
|
Preply
|
Barcelona
OverviewAs Senior Engineering Manager, you lead Preply's Data Platform, owning strategy, execution, and team health for data, ML, and analytics initiatives.
You'll shape the Lakehouse foundation, data ingestion, governance, and reliability to empower cross-functional teams.
You'll mentor engineers, drive architectural decisions, and partner with Analytics, ML, Product, Security, and Engineering leaders to deliver measurable value.
This is a high-impact role at a fast-growing, globally focused company.
Compensaciones / Beneficiosopen, collaborative culture
Learning & Development budget
equity and health insurance
relocation package to Barcelona
mental health support platforms
Gympass wellness access
ResponsabilidadesLead a high-performing data engineering team and cultivate ownership and technical excellence
Mentor engineers through feedback, career development, and inclusive, collaborative culture
Define long-term vision for Preply's data foundation (Lakehouse, ingestion, contracts, governance) aligned with company goals
Prioritize high-impact opportunities with Analytics, ML Platform, Data Science, and Product to maximize value
Translate strategy into executable plans balancing foundational investment with near-term needs
Provide technical leadership across batch and streaming ingestion, data modeling, quality, and governance
Establish data reliability with SLOs, observability, and incident response for pipelines
Champion engineering best practices and continuous process/product improvements
Collaborate with stakeholders across business to align data ownership, standards, and outcomes
Oversee hiring, team composition, and operating model to adapt to platform growth
Requisitos principales8+ years of software or data engineering experience
5+ years in engineering management leading data or platform teams
Strong technical judgment and systems thinking
Proven track record in hiring, coaching, and retaining senior engineers
Product & Business Partnership experience with Analytics, Data Science, ML, and Product
Clear communication and stakeholder leadership across diverse teams
Results-oriented with proven ability to drive performance
Ethical leadership and a culture of psychological safety and ownership
people-centric leadership
coaching and mentorship
collaboration across functions
modern data stack familiarity (Spark, Flink, Kafka, Debezium, Airflow, dbt)
cloud platforms (AWS/GCP)
DevOps practices in data platforms
📌 Senior Engineering Manager (Data Platform) - Preply (Barcelona)
🏢 Preply
📍 Barcelona