Finalto Hiring! Full Time Data Engineer in - Ricebowl

Company Introduction

Finalto is a market leader in next-generation multi-channel trading software, systems, and liquidity services. Operating in a B2B capacity, we empower our global partner network with cutting-edge technology that ensures seamless management of trading platforms and customer relationships. At Finalto, we are redefining the global financial markets to achieve new heights

Role description:

As a Data Engineer at Finalto, you will design and build scalable data platforms and pipelines using modern technologies, enabling the organisation to unlock the full potential of its data for analytics and AI.

This role requires a high level of ownership and accountability, with responsibility for delivering scalable data solutions across the data engineering lifecycle.

Responsibilities:

• Build and optimise scalable data pipelines using PySpark and SQL
• Design and implement ETL/ELT processes for batch and streaming data
• Develop data solutions using Databricks Lakehouse and Delta Lake
• Ingest and integrate data from internal and external sources (e.g. Kafka, CDC)
• Optimise Spark jobs and data workflows for performance, scalability, and cost efficiency
• Manage infrastructure and environments using Terraform (IaC)
• Ensure data quality, monitoring, and reliability
• Implement governance and access controls (e.g. Unity Catalog)
• Deliver clean, structured, and accessible data for analytics and business use
• Collaborate with cross-functional teams to support analytics, reporting, and AI/ML initiatives

Qualifications:

• Demonstrated experience in data engineering, with a proven ability to build scalable data solutions
• Strong proficiency in Python and SQL
• Hands-on experience with Apache Spark (including Structured Streaming)
• Experience with Databricks (Workflows, Delta Live Tables, Lakehouse architecture)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Experience with Terraform or similar infrastructure-as-code tools
• Experience working with structured and semi-structured data (e.g. JSON)
• Familiarity with CI/CD, modular development, and code documentation
• Strong communication skills and ability to work independently with a high level of ownership
• Preferred experience with Databricks certifications (Associate or Professional) and exposure to data tools such as Kafka, DBT, or similar technologies
• Advantageous to have knowledge of Scala or other programming languages, as well as experience working in Agile development environments