Senior Data Engineer for AI Engineering Team

hace 3 semanas


Barcelona, Barcelona, España Dow Jones & Company, Inc. 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.

About the Team:
Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. We shape the digital landscape for our customers, readers, and users.

About the Role:
We are seeking an experienced Data Engineer to join our AI Engineering Team. The successful candidate will be responsible for designing, developing, and maintaining robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage.

Your 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 for ML/AI use cases, 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 for Machine Learning.

Your Qualifications:
• 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.
• 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
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