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# Data Engineer (Spark)

- **Company:** Coforge
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Automation of Tests, Big Data, Continuous Integration, Extract Transform Load (ETL), Disaster Recovery, Document-Oriented Databases, Identity and Access Management, Key Management, PostgreSQL, Meta-Data Management, Standard Sql, Privacy Controls, Apache Spark, Electronic Medical Records, Git, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://www.jobleads.com/es/job/data-engineer-spark--spain--ea9dd35e927e364034719e04a4244a3ee

## About the Role

* Strong 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.

## Description

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 Responsibilities

 * Analyse 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 Skills

 * Strong 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.