Match score not available

Sr. Data Engineer

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

8+ years of experience as a Data Engineer or similar role., Proficient in backend programming languages., Solid experience with PostgreSQL and MongoDB., Experience designing APIs for data access..

Key responsabilities:

  • Design and maintain scalable data pipelines.
  • Collaborate with cross-functional teams for data solutions.
Finalis logo
Finalis Investment Banking Scaleup https://www.finalis.com/
51 - 200 Employees
See all jobs

Job description

What will you be doing?

As a Senior Data Engineer, you will play a key role in shaping the data infrastructure that powers Finalis' core services. You will design and implement well-architected, scalable, and secure data solutions to enable business insights, platform integrations, and product innovation.

We are looking for a self-starter who thrives in a solutions-driven, fast-paced environment and has a passion for solving complex data challenges that drive real impact.

💬 Who are we looking for 

  • Design, build, and maintain scalable data pipelines and ETL processes that ensure high data quality and reliability.

  • Architect and optimize data warehouses and lakes to handle growing volumes of structured and unstructured data.

  • Collaborate with backend and full-stack engineers to ensure seamless integration with core systems and external platforms.

  • Develop data models to support Workflow Engine, Deal Matching, and other platform capabilities.

  • Optimize performance, security and maintain the different platforms for data persistence solutions like PostgreSQL and MongoDB.

  • Integrate and transform data between third-party sources (Salesforce, Hubspot, AWS, etc.) and Finalis' platform.

  • Design and expose well-structured APIs for real-time data querying and aggregation (GraphQL or REST).

  • Enable event-driven architectures.

  • Work cross-functionally with Engineering, Product, and Data teams to create business-critical solutions.

  • Support analytics and machine-learning use cases by providing clean, well-structured data pipelines.

  • 8+ years of experience as a Data Engineer or in a similar backend/data-heavy role.

  • Proficiency in backend programming languages for data pipeline and ETL development.

  • Solid experience with PostgreSQL and MongoDB.

  • Experience designing and building APIs for data access, ideally with GraphQL and Nest.js.

  • Familiarity with cloud platforms (AWS preferred)

  • Strong experience integrating third-party tools (e.g., Salesforce, HubSpot, and AWS services) into existing data workflows.

  • Ability to manage and transform external data sources to align with Finalis’ core data models.

🌟 What do we offer?

  • 100% Remote work (Work from wherever you want!)

  • Competitive USD salary 

  • High-Speed Internet expenses allowance

  • Generous Paid time-off (Vacation Time!)

  • Additional 17 Flex Days (to use in national holidays or personal matters)

  • Professional Growth Benefits in our E-Learning Platform (Coursera) (take your skills to the next level!) 🚀

  • People Team Partner (to target your roadblocks and customize an action plan for your career path)

  • Buddy Program

  • Virtual After-Office Activities 

  • Diverse Culture & Inclusive environment

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Investment Banking
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Data Engineer Related jobs