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Python Analytics Engineer (Jira & Github insights) – Data Management (ODS)

Open Digital Services is the software development company of Santander Group powering the next generation of banks by creating innovative banking products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
Finance · Enterprise SaaS

Description For Python Analytics Engineer (Jira & Github insights) – Data Management (ODS)

Open Digital Services (ODS), the software development arm of Santander Group, is seeking a Python Analytics Engineer to join their Data Management team. This role combines backend development with data engineering, focusing on building analytics solutions using Jira and GitHub data. The position offers an opportunity to work with cutting-edge technology in the banking sector, developing solutions that impact millions of customers.

The role involves creating a comprehensive data pipeline system, from API integration to visualization through Grafana dashboards. You'll be working with modern cloud technologies, primarily AWS services, and will be responsible for designing and implementing scalable data solutions. The position requires strong Python programming skills, database expertise, and experience with data processing.

ODS offers a dynamic work environment with the stability of a major financial institution while maintaining a startup-like atmosphere. The company provides competitive compensation, growth opportunities, and the chance to work on international projects. The role is based in Madrid, Spain, and is part of Santander's digital transformation initiative.

The ideal candidate will have a strong background in backend development, experience with REST APIs, and proficiency in both relational and NoSQL databases. Knowledge of AWS services and data processing frameworks is essential. The position offers exposure to modern development practices and tools while working in an agile environment.

This is an excellent opportunity for a data-focused engineer looking to make an impact in the financial technology sector while working with a global team and modern technology stack. The role combines technical challenges with business impact, offering professional growth and the chance to shape the future of digital banking.

Last updated 2 days ago

Responsibilities For Python Analytics Engineer (Jira & Github insights) – Data Management (ODS)

  • Design and implement a data extraction client for Jira and GitHub APIs
  • Store and structure data in a database optimized for analytical queries
  • Develop ETL processes to clean, transform, and calculate relevant KPIs
  • Integrate data with Grafana to visualize key productivity and performance metrics
  • Deploy the system in AWS, leveraging services like Lambda, EC2, RDS, S3, DynamoDB
  • Optimize the infrastructure for scalability, security, and efficiency
  • Document the architecture, processes, and API endpoints

Requirements For Python Analytics Engineer (Jira & Github insights) – Data Management (ODS)

Python
PostgreSQL
MySQL
  • Experience in backend development with Python, Node.js, or Java
  • Knowledge of REST API consumption and authentication methods
  • Experience with relational and NoSQL databases
  • Familiarity with Grafana and its integration with databases
  • Experience with AWS services
  • Knowledge of data processing and ETL
  • Experience with agile methodologies and tools like Jira

Benefits For Python Analytics Engineer (Jira & Github insights) – Data Management (ODS)

  • Competitive remuneration
  • Attractive benefits package
  • Career growth opportunities within company and Group
  • International project collaboration
  • Excellent work environment
  • Social clubs and frequent events

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