Data Engineer (Python / Airflow / GCP)

Worldwide | Nov. 2, 2026

Report as Closed

Company: Xintec

Country: Worldwide

Type: Remote

Employment: Full-time

Description: Experts in Integration and Technological Innovation. Technology consultant since 2008, we believe in innovation, long-term relationships, people and their ability to form work teams to achieve great objectives.

Xintec is a company dedicated to providing IT services since 2008, we mainly cover custom software development services, IT consulting and software integration. We are Oracle partners since most of our clients use the Oracle platform (middleware + database). Without prejudice to the above, we are neutral with respect to technology and have used the most diverse tools depending on the objective pursued.

Our clients belong to Government, Banking, Retail, Health, IT and others.

We strongly believe that the talent of collaborators makes the difference between companies.

We are currently seeking to strengthen one of our mobile development cells, which is operating under an agile methodology and with a great collaborative environment.

We are looking to add a Data Engineer to our team with solid experience in building and orchestrating data pipelines on Google Cloud Platform. The role is part of a technology team within the financial services industry, focused on ensuring the availability, quality and efficiency of information flows that support critical business processes.

Requirements (exclusive):

  • Verifiable experience of at least 4 years as a Data Engineer or similar role.
  • Advanced command of Python for the development of ETL/ELT processes.
  • Solid experience orchestrating flows with Apache Airflow.
  • Verifiable experience in Google Cloud Platform (GCP) — exclusive.
  • Management of advanced SQL.
  • Availability for hybrid modality in Santiago (exclusive).
  • Availability to join in December.

In addition, we value:

  • Orientation to data quality, proactivity in resolving incidents and operational discipline through documentation.
  • Ability to collaborate and align analytics and business requirements with scalable technical solutions.
  • Responsibility and effective communication to maintain daily operation and continually improve performance.
At Xintec we have promoted Technological Integration and Innovation since 2008, building long-term relationships and high-impact teams. We are looking for a Senior Data Engineer to join a technology team in the Financial Services (FTC) area, focused on ensuring the availability, quality and efficiency of information flows that support critical business processes. The member will participate in the construction and orchestration of productive pipelines on Google Cloud Platform, guaranteeing stable operation, continuous improvement and effective collaboration with analytics and business areas to translate requirements into scalable technical solutions. Responsibilities

As a Senior Data Engineer at Xintec, we focus on making data flows that support critical business processes reliable, efficient and scalable.

  • Design, build and maintain productive data pipelines using Python and Apache Airflow on GCP.
  • Implement data ingestion and transformation processes from multiple sources on Google Cloud Platform.
  • Optimize queries and data structures to ensure performance and efficiency in high-speed environments. volume.
  • Monitor the daily operation of flows, resolving incidents and documenting operational procedures.
  • Collaborate with analytics and business teams to translate requirements into scalable technical solutions.
We offer you:
  • Bonus (bonus) for national holidays and Christmas.
  • Complementary health, life and catastrophic insurance.
  • Los Andes compensation fund.
  • Possibility of training linked to the needs of the company.
  • Snack bonus (lunch).
  • Vacation bonus.

The type of position is hybrid in Santiago, Chile.

Desirable
  • Previous experience in regulated industries (banking, insurance, financial services).
  • GCP certifications (e.g. Professional Data Engineer).

Apply here:

Web: Apply here

Emails:



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