We are seeking a skilled Python Developer to join our backend team as we continue to expand our capabilities. In this role, you will build and maintain systems that handle large-scale economic data processing. You will also collaborate closely with multiple departments to enhance and support our digital platforms, including our company website and web applications.
Backend Development:
Design, develop, and maintain scalable backend services and APIs for processing, storing, and retrieving macro-economic data.
Implement data pipelines to ingest, clean, and process economic datasets.
Database Management:
Work with relational/SQL and NoSQL databases to store and manage complex datasets.
Optimize database queries and ensure efficient data retrieval for analytics and reporting tools.
Data Processing and Integration:
Develop scripts and systems to automate the integration of external economic data sources into internal databases.
Implement ETL processes for large-scale data.
API Development:
Design and implement RESTful APIs for external and internal clients to access macro-economic datasets.
Ensure APIs are secure, reliable, and performant.
Collaboration and Documentation:
Collaborate with data scientists, economists, and other stakeholders to understand data requirements.
Maintain detailed documentation for codebases, APIs, and processes.
Bachelor's degree in Computer Science, Software Engineering, or a related field.
Proficiency in working with SQL and NoSQL databases.
Experience with data processing libraries such as Pandas, NumPy, or similar tools.
Knowledge of containerization tools like Docker and orchestration tools such as Airflow.
Understanding of software version control systems, preferably Git.
Experience in cloud platforms (Azure).
Exposure to machine learning frameworks and tools is an advantage.
Ability to process, clean, and analyse large and complex datasets.
Strong debugging and optimization skills.
Familiarity with macroeconomic concepts, datasets, or prior experience in finance, economics, or a related field is a plus.
Fluent in English and Spanish.
You must be residing in Barcelona
Hybrid work model with the flexibility to work remotely for up to six weeks annually.
Flexible working hours.
Annual learning budget provided for professional development.
Office perks include complimentary fruits and coffee.
Enjoy an international and multicultural workplace environment.
Participate in regular team events and social gatherings, including seasonal celebrations.
Office in sunny Barcelona city centre.
Join FocusEconomics as a Python Developer (Backend) and transform economic data into opportunities. Develop innovative solutions in a dynamic environment - your future starts here!
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