Senior Ml Data Engineer

hace 2 meses

Barcelona, España Dow Jones A tiempo completo

About Our Organization:
Dow Jones is a global provider of news and business information, delivering content to

consumers and organizations around the world across multiple formats, including print,

digital, mobile and live events. Dow Jones has produced unrivaled quality content for

more than 130 years and today has one of the world’s largest news-gathering

operations globally. It is home to leading publications and products including the

flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s,

MarketWatch, Mansion Global, Financial News, Investor’s Business Daily, Factiva, Dow

Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market

Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS,

NWSLV).

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:
Dow Jones is seeking an experienced Data Engineer to join our AI Engineering Team. You will be responsible for designing, developing, and maintaining robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage. You will collaborate within our team to ensure the efficient and reliable retrieval of data, enabling seamless integration with downstream systems for analysis and decision-making.

As a key team member, you will play a crucial role in operationalizing data solutions to meet our organization's needs and deliver tangible value. You will leverage your strong data engineering skills to develop robust, secure, and scalable data pipelines, utilizing your expertise in data retrieval and processing techniques. This position will report to the Associate Director, Data Science.

You Will:

- Collaborate with data scientists and ML engineers to design, develop, and maintain end-to-end data pipelines for extraction, transformation, loading (ETL), and storage.
- Clean, transform, and structure data using industry-standard techniques, ensuring quality and consistency.
- Work with APIs to retrieve data from external sources or integrate with third-party services, adhering to best practices.
- Manage and optimize SQL and NoSQL database systems for data storage, ensuring integrity and performance.
- Automate data fetching, processing, and storage by implementing data pipelines for ML/AI use cases, leveraging ETL principles.
- Communicate effectively with stakeholders and data providers to gather requirements and ensure project alignment.
- Stay updated with industry trends, emerging technologies, and best practices in data engineering for Machine Learning

You Have:

- At least 3 years of industrial experience in a data engineering role
- Experience with cloud-based infrastructure and services (AWS, GCP preferred)
- Experience in designing and implementing end-to-end data pipelines for ML/AI use cases. Preferably in Airflow or GCP Cloud Composer.
- Ability to work with APIs to retrieve data from external sources or integrate with third-party services.
- Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)
- Experience with working on Jenkins and/or Docker.
- Familiarity with database systems, including SQL and NoSQL databases.
- Bachelor's Degree or higher in Computer Science, Computer Engineering, Data Science or related STEM field preferred
- Strong communication and collaboration skills to work effectively with team members and stakeholders.
- Continuous learning mindset with a willingness to stay updated with industry trends and best practices.

Our Benefits
- Comprehensive Insurance Plans
- Paid Time Off
- Family Care Benefits
- Access to Dow Jones Products
- Subscription Discounts
- Employee Referral Program
- Employee Well-being Support & Fitness Programs

Business Area: Dow Jones - Technology

Job Category: Data Analytics/Warehousing & Business Intelligence

Union Status:
Non-Union role

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

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