Staff Data Engineer - Scalable Data & Backend Platforms

Dow Jones & Company, Inc.; Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare Plans

PTO 30 days

Meal Vouchers

Retirement Plans

Wellness Resources

Education Benefits

Family Care Benefits

Discount Programs

Referral Program

Financial Health

Cybersecurity Protection

Descripción de la vacante

Dow Jones & Company, Inc. seeks a Staff Data Engineer to design and deliver scalable data platforms powering analytics and product experiences.

You will balance hands-on development with technical leadership, guiding architecture, and cross-team initiatives within the Technology group. You will mentor teams, drive data quality improvements, and collaborate with engineering, product, analytics, and business stakeholders to solve complex problems and enhance decision making across the

Formación

• 7+ years of professional experience in software or data engineering.
• Hands-on experience with data lakes (Snowflake) and modern data orchestration (dbt, Airflow).
• Deep experience with AWS services such as EC2, S3, Kinesis, ECS, SNS, SQS, Lambda.
• Strong programming and query skills in SQL, Java (Spring Boot), and Python, with experience designing REST APIs, GraphQL services, and managing relational and NoSQL databases.
• Strong experience with CI/CD pipelines, release automation, and modern software delivery practices.
• Proven ability to lead complex, ambiguous technical initiatives, balancing hands-on engineering with long-term strategic direction.
• Strong understanding of system design, platform engineering, software architecture, security, performance and maintainability for large-scale data environments.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Responsabilidades

• Lead & Architect: Deliver large-scale data engineering initiatives with high quality and clear business impact by setting technical direction and influencing architecture decisions across data systems, storage, transformation, and serving layers.
• Problem Solve & Optimize: Drive durable improvements in data quality, reliability, and maintainability by solving ambiguous challenges using structured approaches, identifying systemic issues, and anticipating obstacles.
• Mentor & Collaborate: Establish trusted technical leadership and increase team effectiveness through mentorship, code reviews, and structured problem-solving while building alignment across cross-functional teams and executive audiences.

Conocimientos

Data engineering

Leadership

Problem solving

Programming

SQL

Java

Python

REST APIs

GraphQL

NoSQL

Educación

Bachelor's degree in Computer Science or Engineering

Herramientas

Snowflake

dbt

Airflow

AWS

Java (Spring Boot)

Python

REST APIs

GraphQL

SQL databases

NoSQL databases

Descripción del empleo

Dow Jones & Company, Inc. seeks a Staff Data Engineer to design and deliver scalable data platforms powering analytics and product experiences.

You will balance hands-on development with technical leadership, guiding architecture, and cross-team initiatives within the Technology group. You will mentor teams, drive data quality improvements, and collaborate with engineering, product, analytics, and business stakeholders to solve complex problems and enhance decision making across the