Data Engineer

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.

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  Build and maintain ELT pipelines for batch and streaming data

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  Develop and optimize data warehouses, data lakes, and lakehouse architectures

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  Ensure data quality, governance, and security standards are implemented and maintained

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  Collaborate with analysts, data scientists, and engineering teams to deliver clean, reliable datasets

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  Monitor and improve data architecture performance, and cost efficiency

• Experience with data modeling tools, like DBT

• Knowledge of data warehousing best practices

• Familiarity with Data lake / lakehouse architectures

• CI/CD for data pipelines

• Version control

• Infrastructure as Code (i.e. Terraform) is a plus

• Containerized deployment is a plus