Job description
HI! SFORS trades in the global financial markets and are 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. We are looking for 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.
Key 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 Core Skills & Technologies: Programming: SQL / Python / Scala is a plus 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: Big.
Query / 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 AI/ML (Nice to Have) Experience with Agent Development Kit (ADK) Experience building data pipelines for ML use cases Familiarity with tools such as Big.
Query ML and Vertex AI Language requirements: English
- Upper-Intermediate or higher Ukrainian
- Professional fluency (would be an advantage) What 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.