Job Information
Dow Jones Senior Data Engineer in BARCELONA, Spain
Job Description:
Position: Senior Data Engineer
Location: Barcelona, New York, New Jersey, London
Department: Technology
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.
Responsibilities:
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, leveraging ETL principles.
Identify and troubleshoot issues related to data quality and pipeline performance, applying problem-solving skills.
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 and ETL processes.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
At least 3 years of industrial experience in a data engineering role
Experience with web scraping techniques and data extraction methods.
Solid understanding of data processing techniques, including extraction, transformation, and loading (ETL).
Ability to work with APIs to retrieve data from external sources or integrate with third-party services.
Experience with cloud-based infrastructure and services (e.g., AWS, GCP, etc.).
Familiarity with database systems, including SQL and NoSQL databases.
Familiarity with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.)
Experience in designing and implementing end-to-end data pipelines for web content retrieval and processing.
Excellent problem-solving skills and attention to detail in identifying and troubleshooting issues.
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.
Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is 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, 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.
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 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.
If you are a current employee at Dow Jones, do not apply here. Please go to the Career section on your Workday homepage and view "Find Jobs - Dow Jones." Thank you.
Req ID: 42352