9 months ago
Barcelona, SpainStaff+
Responsibilities
- Lead the design and evolution of scalable analytical data models across key business domains.
- Define and champion organization-wide analytics engineering standards, including modeling patterns, naming conventions, testing strategies, and documentation.
- Build and optimize reliable, high-performance ETL/ELT pipelines handling multi-terabyte data volumes.
- Own and evolve the Looker/LookML BI and semantic layer to enable performant self-service analytics.
- Partner with Data Scientists, Product Managers, and Engineers to streamline analytical workflows and reduce duplicated logic.
- Drive data quality, reliability, governance, and documentation initiatives for decision-critical datasets.
- Influence company-wide data strategy supporting experimentation, marketplace growth, and large-scale personalization.
- Provide data products for Experimentation, Engineering, and Applied AI teams.
- Mentor analytics engineers and provide technical reviews and architectural guidance.
Requirements
- Extensive experience in analytics engineering, data engineering, or related roles working with complex, high-impact data systems.
- Expert-level SQL proficiency and experience using Python in data workflows.
- Proven experience designing scalable analytical data models for experimentation, reporting, and strategic decision-making.
- Advanced hands-on experience with dbt, Looker, Airflow, or similar tools.
- Deep understanding of data modeling, analytics architecture, and self-service BI platforms.
- Strong business acumen and ability to translate ambiguous problems into clear, data-backed solutions.
- Exceptional communication skills for influencing technical and non-technical stakeholders.
- Strategic, proactive approach to improving systems, standards, and long-term outcomes.
- Fluency in English at C1 level or above.
- Experience scaling data platforms in high-growth or post-Series C startups is preferred.
- Experience defining event taxonomies, KPIs, and canonical metrics is preferred.
- Strong experience with AWS or Google Cloud data ecosystems is preferred.
- Previous experience mentoring or coaching data professionals is preferred.
About Preply
Preply builds an online marketplace that connects learners with human tutors for live language lessons, supported by AI tools. Consumers book 1:1 sessions and ongoing courses, while organizations use Preply Business for corporate language training; revenue comes from commissions and subscriptions. Founded in 2012 and privately held, Preply operates globally with 100,000+ tutors teaching 90+ languages.