Data Engineer — Ingestion & Lakehouse

Preply; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation package to Barcelona Hub

Health insurance

Learning & Development budget

Monthly lessons allowance

Descripción de la vacante

Preply is seeking a Data Engineer to join the Data Ingestion and Enrichment team. You will build and maintain the data lake components and production-grade ingestion pipelines powering analytics, ML, and product features.

You will collaborate with ML Platform, Analytics, and Product squads to ensure pipelines are observable, scalable, and reusable. You will implement data contracts, governance-by-design, and enrichment logic across domains, with a focus on reliability, lineage, and data quality.

Formación

• Hands-on experience building components of large, high-scale applications (data pipelines, APIs, algorithms).
• Experience in platform or data engineering teams in multi-stakeholder environments.
• Cloud platforms (AWS/GCP or equivalent) and modern DevOps practices.
• Hands-on design/implementation of real-time and batch data processing pipelines (Spark, Flink, Spark Streaming, Kafka, Debezium).
• Experience with orchestration tools such as Airflow or dbt.
• Strong problem-solving and proactive mindset with continuous improvement focus.
• Excellent communication and cross-functional collaboration skills (English level B2+)

Responsabilidades

• Contribute to trusted ingestion & enrichment foundations (Data Lake and Data as a Product).
• Develop end-to-end ingestion pipelines (batch & streaming).
• Define raw -> standardized -> consumption layers with lineage and retention strategies.
• Implement data contracts, validation, anomaly detection, and quality checks.
• Build enrichment logic and support versioning for downstream analytics.
• Instrument ingestion pipelines with observability: freshness, latency, quality, cost.
• Contribute to governance: access control, privacy protections, auditability.
• Enable self-service through standardized templates and documentation.
• Collaborate with Product, Backend, Analytics, and ML teams; mentor juniors.

Conocimientos

Problem-solving

Cross-functional collaboration

Proactive mindset

English B2+

Communication skills

Herramientas

Spark

Flink

Kafka

Debezium

Airflow

dbt

Descripción del empleo

Preply is seeking a Data Engineer to join the Data Ingestion and Enrichment team. You will build and maintain the data lake components and production-grade ingestion pipelines powering analytics, ML, and product features.

You will collaborate with ML Platform, Analytics, and Product squads to ensure pipelines are observable, scalable, and reusable. You will implement data contracts, governance-by-design, and enrichment logic across domains, with a focus on reliability, lineage, and data quality.