About the Position

SFORS, a leading player in the global financial markets, is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will ensure reliable data flow across systems, support strong data modeling practices, uphold data security standards, and enable analytics and machine learning teams with high-quality, well-structured data.

Responsibilities

Build and maintain ELT pipelines for batch and streaming data
Develop and optimize data warehouses, data lakes, and lakehouse architectures
Ensure data quality, governance, and security standards are implemented and maintained
Collaborate with analysts, data scientists, and engineering teams to deliver clean, reliable datasets
Monitor and improve data architecture performance and cost efficiency

Requirements

Core Skills & Technologies

Programming: SQL / Python / Scala
Cloud Platforms: Google Cloud Platform (GCP) / Microsoft Azure
Data Integration & Orchestration: Apache Airflow / Azure Data Factory
Messaging / Ingestion: Apache Kafka / Google Pub/Sub / Azure Event Hubs
Data Processing: Apache Spark / Databricks / Dataflow / Azure Stream Analytics
Data Analytics Platforms: BigQuery / Azure Synapse Analytics / Microsoft Fabric
Data Modeling & Architecture
- Experience with data modeling tools, like DBT
- Knowledge of data warehousing best practices
- Familiarity with Data lake / lakehouse architectures
DevOps & Infrastructure
- CI/CD for data pipelines
- Version control
- Infrastructure as Code (i.e. Terraform) is a plus
- Containerized deployment is a plus

Secondary Skills (Nice to Have)

Experience with Agent Development Kit (ADK)
Experience building data pipelines for ML use cases
Familiarity with tools such as BigQuery ML and Vertex AI

Language Requirements

English: Upper-Intermediate or higher
Ukrainian: Professional fluency (would be an advantage)

We Offer

Competitive salary package
Professional growth and learning opportunities
Supportive and collaborative work environment
SFORS invests in talent development through training programs, sports, leisure, and psychological support.

About the Company

SFORS trades in the global financial markets and is among the key proprietary trading players and pre-market trading leaders. Our company owes its 20 years of success in the stock market to constantly investing in talent development, trading technologies, progressive risk management models, and effective trading strategies - all of which drive trader success. SFORS operates exclusively with proprietary funds, without any third-party investments.

Data Engineer

Job description