Roles remotos de SQL para candidatos en Bielorrusia.

Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health

• Senior
• Python
• SQL

Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.

• Middle
• AWS
• CI/CD
• GCP
• +4

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

Q3 2026 - from September, 3-month notice period accepted

• Junior
• Python
• REST
• Snowflake
• +1

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

• Lead
• AI
• Android
• Flutter
• +12

Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

• Senior
• Python
• SQL

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Frame ambiguous business problems as well-posed modeling, inference, or optimization tasks, and choose methods that fit the data and the decision.

• Senior
• CI/CD
• Python
• SQL

You have C++ experience, and you are already working with/contributing to ClickHouse, or

• Senior
• SQL

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation

• Senior
• Salesforce
• Snowflake
• SQL

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

• Middle
• AWS
• Azure
• GCP
• +2

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Data Platform & Pipeline Engineering: Design and operate scalable, near real-time data pipelines for payment and platform data.

• Senior
• Python
• Snowflake
• SQL

Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.

• Lead
• Azure
• SQL

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources

• Senior
• Java
• Python
• Snowflake
• +2