Senior Software Engineer, Personalization

Dow Jones
Barcelona, Spain
22 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Barcelona, Spain

Tech stack

A/B testing
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Program Optimization
Continuous Integration
Python
Machine Learning
NoSQL
Recommender Systems
SQL Databases
Feature Engineering
Large Language Models
Generative AI
Backend
Containerization
Low Latency
Machine Learning Operations
Microservices

Job description

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., 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

Requirements

Do you have experience in Scalability?, Do you have a Master's degree?, * 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)

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Paid time off, * 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

#LI-Hybrid

About the company

Since 1882, Dow Jones has been finding new ways to bring information to the world's top business entities. Beginning as a niche news agency in an obscure Wall Street basement, Dow Jones has grown to be a worldwide news and information powerhouse, with prestigious brands including The Wall Street Journal, Dow Jones Newswires, Factiva, Barron's, MarketWatch and Financial News. This longevity and success is due to a relentless pursuit of accuracy, depth and innovation, enhanced by the wisdom of past experience and a solid grasp on the future ahead. More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.

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