Staff Engineer - Data and Backend Platforms

Dow Jones; Barcelona; Presencial; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare plans

Paid time off (30 days)

Retirement plans

Wellness resources

Family care benefits

Subscription discounts

Employee referral program

Cybersecurity protection

Descripción de la vacante

Dow Jones is seeking a Staff Data Engineer to lead the design and delivery of scalable data platforms powering analytics and product experiences.

You will balance hands-on development with technical leadership, drive cross-team initiatives, and partner with engineering, product, analytics and business stakeholders to solve complex problems and improve outcomes. This role is part of the Technology team in Barcelona, Spain.

Formación

• 7+ years of software or data engineering experience at staff level.
• Hands-on data lakes (Snowflake) and modern orchestration (dbt, Airflow).
• Strong SQL/Java/Python and API design skills (REST/GraphQL).
• CI/CD pipelines and release automation experience.
• Ability to lead complex initiatives across teams.

Responsabilidades

• Lead & Architect: deliver large-scale data initiatives with technical direction.
• Drive data quality, reliability, and maintainability across systems.
• Mentor engineers, review code, and align cross-functional teams.
• Collaborate with stakeholders to shape engineering direction.

Conocimientos

7+ years experience

Data engineering

SQL

Java

Python

REST APIs

GraphQL

CI/CD

leadership

Educación

Bachelor's degree in CS/Engineering

Herramientas

dbt

Apache Airflow

Snowflake

AWS

Descripción del empleo

Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.

About the Role:

As a Staff Data Engineer, you will lead the design and delivery of scalable, reliable data platforms and pipelines that power analytics, product experiences, and business-critical decision-making. Balancing significant hands-on development with technical leadership, you will shape engineering direction for the team, drive high-impact cross-team initiatives, and partner closely with engineering, product, analytics, and business stakeholders to solve complex problems and improve departmental outcomes. You will be part of the Technology team.

You Will:

• 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.

You Have:

• 7+ years of professional experience in software or data engineering, with meaningful experience operating at staff scope.
• Hands-on experience with data lakes (Snowflake), modern data orchestration (dbt, Airflow).
• Deep experience with AWS services such as EC2, S3, Kinesis, ECS, SNS, SQS, Lambda, and related cloud infrastructure.
• Very strong programming and query skills in SQL, Java (Spring Boot), and Python, along with experience designing REST APIs, GraphQL services, and managing relational and NoSQL databases in high-scale systems.
• 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 while influencing decision-making across business units.
• Strong understanding of system design, platform engineering, software architecture, security, performance, and maintainability best practices for large-scale data environments
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Comprehensive Healthcare Plans for you and your family
• Paid Time Off (30 days a year)
• Retirement Plans
• Lifestyle programs & Wellness Resources
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program
• Cybersecurity Protection