Data Engineer – Ingestion & Lakehouse Pipelines

Preply; Bellprat; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation package to Barcelona Hub

Health insurance

Learning & Development budget

Lessons allowance on Preply.com

Time off for self-development

Gympass-partnered wellness (Spain)

Descripción de la vacante

Preply is seeking a Data Engineer to join the Data Ingestion and Enrichment team, building and maintaining data lake components and production-ready pipelines that power analytics, ML, and product features.

You will work with ML Platform, Analytics, and Product squads to ensure trusted datasets, data contracts, and scalable data assets, while driving governance, observability, and reliability across the data platform.

Formación

• Hands-on experience building components of large, high-scale applications (data pipelines, APIs, efficient algorithms).
• Solid experience in platform or data engineering teams with multi-stakeholder delivery.
• Familiarity with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices.
• Hands-on experience designing and implementing real-time and batch data processing pipelines (Spark, Flink, Kafka, etc.).
• Experience with orchestration tools such as Airflow, dbt, or similar.
• Exceptional problem-solving skills and a proactive, improvement-focused mindset.
• Strong communication and cross-functional collaboration (English level B2+)

Responsabilidades

• Contribute to trusted data ingestion foundations (Data Lake and Data as a Product).
• Develop end-to-end ingestion pipelines (batch & streaming).
• Define raw → standardized → consumption layers with clear ownership and lineage.
• Implement data contracts, validation, and quality checks early in ingestion.
• Build enrichment logic and lifecycle management across domains.
• Ensure observability, reliability, and cost metrics with SLOs and incident playbooks.
• Apply governance with access control, masking, and auditable data flows.
• Enable self-service ingestion templates and documentation for data sources.
• Collaborate with Product, Backend, Analytics, and ML teams; mentor juniors.

Conocimientos

Data pipelines

Data engineering

Cloud platforms

Real-time & batch processing

Orchestration tools

Problem solving

Communication (English)

Herramientas

Spark

Flink

Kafka

Debezium

Airflow

dbt

Descripción del empleo

Preply is seeking a Data Engineer to join the Data Ingestion and Enrichment team, building and maintaining data lake components and production-ready pipelines that power analytics, ML, and product features.

You will work with ML Platform, Analytics, and Product squads to ensure trusted datasets, data contracts, and scalable data assets, while driving governance, observability, and reliability across the data platform.