Data Engineer – Financial Services

Join NFQ

We are a global consulting firm specialized in business, technology, and operations, with over 2,000 professionals across national and international offices. At NFQ, we offer a different consulting model: Flexible | Scalable | Specialized | Client-Centric.

As part of our continued expansion, we are looking for a Data Engineer to join our team in São Paulo (Hybrid). If you're a highly skilled professional with strong experience in data engineering within the financial services sector, and enjoy solving complex challenges in fast-paced environments, we want to hear from you.

About the Role

We are looking for a
Data Engineer
with proven experience in
financial environments, particularly in Global & Capital Markets of a Financial Institution.
This professional will contribute to the design and implementation of scalable data solutions that support key business areas such as management control, financial result analysis (P&L), accounting reconciliation, and regulatory reporting. The role offers opportunities to deepen expertise in cloud platforms, data architecture, and advanced analytics while collaborating with cross-functional teams.

Key Responsibilities

• Design, develop, and maintain data transformation and analytics workflows to support financial operations, reporting, and performance management.
• Work with structured and unstructured data from Treasury tools such as Calypso, Murex, and market sources, ensuring data integrity and availability across domains like Markets, Operations, Accounting, and Risk.
• Implement and optimize orchestrated workflows using tools such as Airflow, dbt, Control-M, Git, and CI/CD pipelines.
• Contribute to data architecture initiatives including data lakes, data mesh, and cloud-based platforms (Azure, GCP, AWS).
• Collaborate with business and technical stakeholders in Agile environments (Scrum/Kanban) to gather requirements and translate them into data solutions.
• Support PMO and data productisation efforts for advanced analytics teams.

Must-Have Qualifications

• Bachelor in Computer Science, Engineering or a similar quantitative/technical field.
• Strong experience with Databricks, Python, SQL and Spark.
• Deep understanding of financial products and valuation methodologies commonly used in Corporate and Investment Banking.
• Familiarity with data from trading and risk platforms (e.g., Calypso, Murex) and source systems within financial institutions.
• Hands-on experience with data orchestration tools (Airflow, dbt, Control-M) and version control/integration tools (Git, CI/CD).
• Experience in Agile development environments (Scrum, Kanban).
• Strong analytical skills and ability to work with complex datasets in regulated environments.
• Advanced English

Nice-to-Have Qualifications

• Experience in cloud computing platforms such as Azure, GCP, AWS.
• Exposure to data governance and observability frameworks (data lineage, data cataloguing, metadata management).
• Understanding of accounting and regulatory reporting processes.
• Familiarity with PMO routines, data ingestion pre-processing, and productisation of analytical models.
• Interest in or experience with platform engineering or advanced analytics.
• Adavanced Spanish

What We Offer

• Work in a dynamic, international environment with global mobility opportunities.
• Continuous training and development tailored to your individual needs.
• Business and technology training programs.
• Access to
  official certifications
  .
• Language classes
  to support your professional growth.

CLT contract benefits:

• Competitive salary and flexible compensation plan
• Health & dental insurance
• Life insurance
• Meal voucher
• Transportation allowance
• WellHub

And much more: a flexible work environment, internal events, travel, wellness initiatives, and more.

Learn more about us:

|
LinkedIn NFQ

Location:
São Paulo, Brazil (Hybrid)

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