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# Backend Engineer - Data Platforms

- **Company:** Dow Jones
- **Location:** Barcelona, Spain (Remote available)
- **Salary:** €45,000.0 - €65,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, Cloud Computing, Dataspaces, Apache Hadoop, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Open Source Technology, SQL Databases, Data Streaming, Apache Spark, Backend, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Dask, AWS Fargate, Data Management, Machine Learning Operations, Functional Programming, Docker, Amazon Redshift
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ 5+ years of experience as a backend engineer, ideally in data-intensive environments
 + Strong proficiency in Python (preferred), with additional experience in Java or Scala a plus
 + Deep experience with AWS (preferred), Azure, or GCP, and its data ecosystem (e.g., ECS, Fargate, S3, Redshift, Lambda)
 + Familiarity with containerization and orchestration tools (Docker, Kubernetes)
 + Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, etc.)
 + Strong problem-solving skills and a collaborative mindset.
 + Excellent problem-solving skills and ability to mentor others
Nice to Have

 + Master's degree in Computer Science, Engineering, or a related field
 + Experience working with streaming data, event-driven architectures, or real-time analytics
 + Hands-on experience with big data frameworks (e.g., Dask, Spark, Hadoop)
 + Exposure to machine learning workflows, data science tools, or BI platforms
 + Contributions to open-source projects or technical blogs

## Description

We're looking for a Senior Backend Engineer to join our growing data platform team. In this role, you'll architect and build scalable, high-performance backend systems that power advanced analytics and data-driven decision-making across the organization.
What You'll Do

 + Design and implement cloud-native backend services for large-scale data processing and analytics
 + Collaborate with data scientists, analysts, and product teams to turn complex business needs into elegant technical solutions
 + Build and optimize **data models** and pipelines for performance, scalability, and reliability
 + Drive **cost-efficient** and **secure** use of cloud infrastructure (primarily AWS)