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Dow Jones
Dow Jones

Business and financial news company

Senior Software Engineer, Personalization at Dow Jones

RoleBackend
LevelSenior
LocationSpain - Barcelona
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

Job Description:

Senior Software Engineer, Personalization

Dow Jones Job Location: Barcelona Job ID ITD5035 - Sr Software Engineer

About the Team:

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:

We are looking for a Senior Software Engineer to join our Personalization team in Barcelona. You will design and build systems that deliver highly relevant, personalized experiences across our digital products. This role sits at the intersection of backend engineering, data, and applied AI—leveraging modern architectures and machine learning techniques to connect users with the most relevant content.

You will play a key role in developing scalable personalization platforms, including recommendation systems and retrieval-augmented generation (RAG) pipelines, working closely with product, data science, and design partners.

You Will:

  • Design, build, and operate personalization systems and services powering content discovery and user engagement

  • Develop and maintain RAG pipelines integrating LLMs with structured and unstructured data sources

  • Build recommendation engines (content, articles, entities, or signals) using collaborative, content-based, or hybrid approaches

  • Own services end-to-end: architecture, implementation, deployment, and production reliability

  • Collaborate with product managers, data scientists, and analysts to translate business needs into scalable technical solutions

  • Optimize systems for performance, latency, and scalability across high-traffic environments

  • Contribute to engineering best practices, including testing, observability, and CI/CD

You Have:

  • 3+ years of experience building backend systems and distributed services

  • Strong proficiency in Python (production-grade systems)

  • Experience working with RAG pipelines or LLM-based applications

  • Understanding of data modeling, APIs, and microservices architectures

  • Experience working with cloud platforms (AWS, GCP, or Azure) and containerized environments

  • Familiarity with SQL and NoSQL databases

  • Experience building personalized recommendation systems (e.g., ranking, candidate generation, user embeddings)

  • Familiarity with machine learning workflows, feature engineering, and experimentation (A/B testing)

Our Benefits:

  • Comprehensive Healthcare Plans for you and your family (paid by Dow Jones)

  • Extra paid Time Off (30 days of holidays/year)

  • Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter

  • Meal benefit with Pluxee (171€/month on top of your salary)

  • Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).

  • Comprehensive Insurance Plans

  • Well-being Resources (200 USD allowance per quarter, Classpass, etc.)

  • Family Care Benefits & Caregiving Support

  • Subscription Discounts

  • Employee Referral Program

This is a hybrid remote/in-office role, based in Barcelona.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area:

  • Dow Jones
  • Technology

Job Category:

Software Product Engineering:

Union Status:

Non-Union role

Required skills

Backend engineering

System design

Personalization

Recommendation systems

RAG pipelines

LLMs

Scalable services

Collaboration

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About Dow Jones

Dow Jones

Dow Jones

Public

Dow Jones & Company, Inc. is an American publishing firm owned by News Corp, and led by CEO Almar Latour. The company publishes The Wall Street Journal, Barron's, MarketWatch, Mansion Global, Financial News and Private Equity News.

1,001-5,000

Employees

New York

Headquarters

Reviews

10 reviews

3.8

10 reviews

Work-life balance

2.5

Compensation

3.2

Culture

4.1

Career

3.4

Management

3.3

65%

Recommend to a friend

Pros

Great team culture and supportive colleagues

Good learning and advancement opportunities

Excellent health benefits and retirement plans

Cons

Heavy workload and demanding work hours

Frequent overtime expectations

Fast-paced and stressful environment

Salary Ranges

33 data points

Mid/L4

Mid/L4 · Senior Data Analyst

2 reports

$103,500

total per year

Base

$90,000

Stock

-

Bonus

-

$103,500

$103,500

Interview experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience