Overview

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In this role you will lead the design and delivery of scalable data platforms powering analytics and product experiences. You’ll balance hands-on development with technical leadership to set direction across data systems and collaborate with engineering, product, and analysts. You drive cross-team initiatives to improve data quality and reliability while shaping the data platform roadmap.

This is an opportunity to influence large-scale data decisions at Dow Jones and help enable data-driven outcomes across the business.

Compensaciones / Beneficios

- Comprehensive Healthcare Plans
- Paid Time Off (30 days a year)
- Retirement Plans
- Education Benefits
- Family Care Benefits & Caregiving Support
- Employee Referral Program

Responsabilidades





- Lead & Architect scalable data initiatives and influence data architecture across storage, transformation, and serving layers
- Drive improvements in data quality, reliability, and maintainability through structured problem-solving
- Mentor and collaborate with cross-functional teams and communicate with executive audiences

Requisitos principales

- 7+ years in software or data engineering at staff scope
- Hands-on xugodme experience with data lakes (Snowflake) and orchestration (dbt, Airflow)
- Deep AWS experience (EC2, S3, Kinesis, ECS, SNS, SQS, Lambda)
- Strong SQL, Java (Spring Boot), and Python;

experience with REST APIs and GraphQL; relational and NoSQL databases

- leadership and mentorship
- cross-functional collaboration
- problem solving
- Snowflake
- dbt
- Airflow

📌 Staff Engineer - Data and Backend Platforms - Dow Jones & Co. (Barcelona)
🏢 Jobrapido
📍 Barcelona