Manager, Data Engineering
Summary
Lead a data engineering team in Barcelona building and scaling streaming and batch pipelines that unify hospitality data into a semantic layer for hotels worldwide. The role blends hands-on work with Python, Kafka, GCP (Pub/Sub, BigQuery, Spanner), Snowflake and Databricks with people leadership and an AI-first culture.
Experteer Overview As Data Engineering Manager, you lead a team owning end-to-end data domains within a high-scale ingestion and transformation engine, unifying hospitality data into a semantic layer. You’ll guide architecture and pipelines, ensuring performance and reliability while embedding an AI-first culture. The role blends hands-on data engineering with people leadership to deliver real-world impact for hotels worldwide. You’ll work closely with cross-functional teams to shape data products and elevate the platform’s intelligence.
Compensaciones / Beneficios
- Lead and mentor a data engineering team to foster technical excellence and career growth
- Guide teammates on technical direction, planning, and delivery
- Architect, implement, and scale streaming and batch data pipelines for large data volumes
- Embed AI into the organization and promote AI-first development within the team
- Identify and implement improvements in data quality, system stability, observability, performance, latency, and reliability
- Collaborate with product, other engineering, support, and business teams
- Own end-to-end ingestion and complex transformations across multiple data domains
- Turn large, structured and unstructured data into data products with actionable hospitality insights
Responsabilidades
- Experience leading engineering teams with coaching and growth focus
- Strong hands-on background in data engineering, ETL/ELT, batch and streaming pipelines
- Proactive, solution-oriented mindset with ability to manage large architectural projects
- Interest or experience with AI, LLMs, agentic workflows, or AI-assisted coding tools
- Ability to optimize architectures, tooling, processes, and cross-functional collaboration
- Professional proficiency in Python for large-scale data processing
- Knowledge of data cloud tech, streaming systems (GCP Pub/Sub, Kafka), and cloud databases (BigQuery, Spanner, Snowflake, Databricks)
- Fluency in English with excellent communication and stakeholder management
Requisitos principales
- Flexible time off
- Alan Flex benefits: 160/month for food or nursery
- Flexible retribution through tax-free payroll deductions
- Wellbeing support: subsidized ClassPass
- Comprehensive health insurance: 100% Alan coverage for employee, spouse, and dependents
- Impactful work: products used by 85,000+ users worldwide
Manager, Data Engineering Barcelona, ES