We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. As a category-defining company, we’re shaping what the future of learning looks like at global scale.Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Joining

Preply means helping define the future of education at integral scale, and building something that truly matters for millions of people, every day.At Preply, the Data Ingestion and Enrichment team provides a single, trusted, and scalable data foundation. The team ensures that all analytics, machine learning, and product features are built on unified, governed, and production-grade data assets in Preply's Lake House, including the extraction, normalization, and generation of structured data from Preply's unstructured assets, forming a durable data moat for AI-driven products.As a Data Engineer in the Data Ingestion and Enrichment team, you will build and contribute to the data layer that powers both Preply's analytics, machine learning, and product. You will work closely with ML Platform, Applied/Data Scientists, Analytics Engineering, and Product squads to ensure that features, datasets, and pipelines are production-ready, observable, and reusable within the team.Contribute to trusted ingestion & enrichment foundations (Data Lake and Data as a Product):Build and maintain components of Preply's data lake.

Ensure every dataset has clear ownership, purpose, schemas, and quality expectations from first ingestion through downstream consumption by analytics, product,



and ML teams. Balance performance, cost, and reliability as the platform scales.Data quality, contracts & early validation:Implement data contracts between producers and consumers, covering schema, freshness, volume, and quality guarantees. Embed validation, anomaly detection, and quality checks early in the ingestion lifecycle to catch issues before they propagate.

Apply standardized quality metrics.Build enrichment logic that joins, standardizes, and contextualizes data across domains using shared definitions and reusable patterns. Instrument ingestion pipelines with strong observability: freshness, latency, data quality, and cost metrics. Contribute to SLOs, alerting, and incident response playbooks so data failures are visible, diagnosable, and recoverable.

Apply consistent access control, classification, and privacy protections at ingestion time. Ensure sensitive data is properly masked, minimized, or anonymized by default, and that all data flows you own are auditable and traceable.Contribute to standardized ingestion templates, shared libraries, and platform tooling that enable teams to onboard new data sources independently. Work closely with Product, Backend, Analytics, and ML partners to align on ingestion requirements and trade-offs.

Mentor junior team members and actively contribute to a culture of shared data quality standards and data contracts.data pipelines,



well-structured APIs, efficient algorithms).Solid experience working in platform or data engineering teams (or equivalent) with the ability to deliver within a multi-stakeholder environment.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 using modern frameworks like Spark, Flink, Spark Streaming, Kafka, Debezium, etc.Experience with orchestration tools such as Airflow, dbt, or similar.Strong communication and cross-functional collaboration skills (English level B2+)Why you’ll love it at Preply:An open, collaborative, dynamic, and diverse culture;com, Learning & Development budget, and time off for your self-development.We offer an attractive relocation package to join us in our Preply Barcelona HubA competitive financial package with equity, leave allowance, and health insurance;We do it for learners - For both Preply and tutors, learners are why we do what we do. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.Now is the time - In a fast-paced world, it matters how quickly we act. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point.

Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

📌 Senior Engineer, Data Engineering (Cataluña)
🏢 Preply
📍 Cataluña