> Markdown version of [/jobs/ext/2183549-data-engineer](https://www.wearedevelopers.com/jobs/ext/2183549-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Postaladdress - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Airflow, BigQuery, Information Engineering, Data Systems, Python (Programming Language), Operational Databases, Standard Sql, Parquet, Data Processing, Avro, Data Management, Data Pipelines - **Published:** August 22, 2026 - **Apply:** https://www.jobleads.com/es/job/eb3d889bbd006583d2a254dbafca5a44b ## About the Role * 5+ years of experience in production data engineering * Strong experience with BigQuery and advanced SQL in large-scale analytical environments * Strong Python skills for production-grade data engineering * Solid Airflow experience and a strong understanding of reliable orchestration patterns * Hands-on experience with incremental pipelines and idempotent data processing * Experience with probabilistic record linkage or entity resolution in production * Strong understanding of data quality, matching logic, and precision/recall trade-offs * A careful, structured, and ownership-driven way of working * Strong communication skills and the ability to explain technical decisions clearly * English Level required: B2 - Independent users of the language, i.e. those who have the necessary fluency to communicate without effort with native speakers., * Experience with Splink and probabilistic record linkage tools * Experience with Cloud Run Jobs, GCS, and event-driven patterns in GCP * Experience with Pub/Sub as a source in data pipelines * Familiarity with data format trade-offs such as Parquet, Avro * Experience with dbt * Exposure to downstream BI use cases * Experience in e-commerce or marketplace environments ## Description * Own the end-to-end pipeline that creates the unified customer_uuid across Books & Media and Fashion * Maintain and evolve our customer identity master data with a strong focus on accuracy, reliability, and production quality * Improve our probabilistic identity resolution model and make matching decisions measurable, transparent, and explainable * Build scalable and cost-efficient data pipelines across BigQuery, GCS, and Cloud Run Jobs * Introduce diagnostics, monitoring, and structured validation for every relevant model change * Identify and resolve edge cases in customer matching logic before they become production issues * Work closely with business and technical stakeholders to turn complex matching challenges into robust data solutions Your Tech Stack * BigQuery * SQL * Python * Airflow * Splink * Google Cloud Storage * Cloud Run Jobs * Pub/Sub, * Contributing to a high scale, complex product and seeing the real-time impact of your work * Flexible and hybrid working * Private Medical Healthcare insurance * Training budget * Extra holidays * Challenging tasks and professional development, knowledge & best practice sharing ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From event streaming to event sourcing 101](https://www.wearedevelopers.com/videos/91-from-event-streaming-to-event-sourcing-101) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)