We are seeking a Data Engineer to support the implementation of a new CRM platform by designing, building, and maintaining scalable data pipelines and integrations. The role will play a key part in enabling customer insights, opportunity matching, reporting, analytics, and operational processes while ensuring data quality, governance, and scalability.Key ResponsibilitiesAnalyse existing data sources and define data contracts with business consumers.Design, develop, and maintain data ingestion, transformation, and publishing pipelines.Build data models supporting customer profiles, opportunities, matching engines, tracking, and reporting.Implement data quality controls, reconciliation processes, and monitoring.Optimise ETL/ELT processes for performance, scalability, and cost efficiency.Work closely with Full Stack Developers to expose and consume data within the application.Document data lineage, models, business rules, dependencies,



and recovery procedures.Ensure compliance with security, governance, and privacy standards.Required SkillsStrong experience with Apache Spark for large-scale data processing.Hands‑on experience with AWS, including S3, RDS/PostgreSQL, IAM, and EMR.Solid knowledge of SQL for transformation, optimisation, and analytics.Experience designing and implementing ETL/ELT pipelines.Strong understanding of data modelling, data quality, metadata management, and traceability.Experience with Git, CI/CD, automated testing, monitoring, and alerting.Knowledge of security principles including IAM, encryption, secrets management, and least‑privilege access.Experience working in Agile delivery environments.#J-18808-Ljbffr

📌 Data Engineer (Spark) (Madrid)
🏢 Coforge
📍 Madrid