Data Engineer
Finalto is a leading provider of multi-channel trading software and liquidity services in the fintech space. The Data Engineer will build and optimize scalable data pipelines and platforms using modern tools like Databricks and PySpark. You will work on ETL/ELT processes, manage infrastructure via Terraform, and ensure high data quality for analytics and AI initiatives. This role requires close collaboration with cross-functional teams to deliver accessible data solutions within a B2B financial environment.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Finalto is a leading provider of multi-channel trading software and liquidity services in the fintech space. The Data Engineer will build and optimize scalable data pipelines and platforms using modern tools like Databricks and PySpark. You will work on ETL/ELT processes, manage infrastructure via Terraform, and ensure high data quality for analytics and AI initiatives. This role requires close collaboration with cross-functional teams to deliver accessible data solutions within a B2B financial environment.
TAL's take
Solid fintech role at an established company with clear technical requirements and defined scope.
The JD clearly defines the technology stack (Databricks, Spark, Terraform) and core responsibilities for a data engineer.
Must haves
- Strong proficiency in Python and SQL
- Hands-on experience with Apache Spark
- Experience with Databricks Lakehouse architecture
- Experience with cloud platforms like AWS, Azure, or GCP
- Experience with Terraform for IaC
- Ability to build scalable data pipelines
Tools and skills
Nice to have: kafka, dbt, scala, databricks certifications.
About the company
Finalto is an established financial trading software provider but lacks the global brand recognition of Tier 1 tech giants.